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MO-C930-IePD-F5-1 | Patient-Specific Nuclei Size and Cell Spacing Distribution Extraction From Histopathology Whole Slide Images for Treatment Outcome Prediction Modelling Y Zou1*, M Lecavalier-barsoum2, M Pelmus3, S Abbasinejad Enger1,2,4, (1) Medical Physics Unit, Department of Oncology, Faculty of Medicine, McGill University, Montreal, QC, CA, (2) Department of Radiation Oncology, Jewish General Hospital, Montreal, QC, Canada, (3) Department of Pathology, Faculty of Medicine, McGill University, Montreal, QC, CA, (4) Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, CA |
MO-C930-IePD-F6-1 | Demonstration of a Novel Metal Artifact Reduction Technique with KV-MV CBCT M Jacobson1*, T Harris1, M Lehmann2, P Huber2, M Myronakis1, I Ozoemelam1, R Fueglistaller2, D Morf2, R Berbeco1, (1) Brigham and Women's Hospital, Dana-Farber Cancer Institute, and Harvard Medical School, Boston, MA (2) Varian Medical Systems, Baden-Dattwil, Switzerland |
MO-C930-IePD-F6-3 | A Monte Carlo Study to Investigate Material Subtraction Performance of a Multi-Layer KV-CBCT Detector I Ozoemelam1*, M Myronakis1, T Harris, P Huber2, M Jacobson1, R Fueglistaller2, M Lehmann2, D Morf2, R Berbeco1, (1) Dana Farber/Brigham and Women's Hospital, Boston, MA, (2) Varian Imaging Laboratory, Baden, Switzerland |
MO-C930-IePD-F6-6 | Quantification of Nanoparticle Radiosensitizers Using Dual-Energy CT T Harris1*, M Jacobson1, S Bennett1, M Myronakis1, I Ozoemelam1, Y Hu1, A Sudhyadhom1, F Lux2, O Tillement2, R Berbeco1, (1) Dana Farber/Brigham and Women's Cancer Center, Boston, MA, (2) Institut Lumiere Matiere, Universite de Lyon 1, Lyon, Fr |
MO-C930-IePD-F7-1 | Stereotactic Radiosurgery of Small Brain Lesions Via MLC Aperture-Shape Controller HyperArc VMAT D Pokhrel*, M Kudrimoti, M Bernard, University of Kentucky, Lexington, KY |
MO-C930-IePD-F8-2 | Two Vendor-Specific Deep Learning Iterative Reconstruction Algorithms (DLIR) for CT Were Assessed for Image Quality Impact Towards Dose Reduction Feasibility S Brady1*, (1) Cincinnati Childrens Hospital Med Ctr, Mason, OH |
MO-C930-IePD-F8-3 | Implementation of An Automated Software to Identify CT Repeated Scans and Reduce Wasted Contrast, Time and Ionizing Radiation Dose N Fitousi1, H Bosmans2, T Szczykutowicz3, J Jacobs1*, (1) Qaelum NV, Leuven, ,BE,(2) University Hospitals Leuven, Leuven, ,BE, (3) University Wisconsin-Madison, Madison, WI |
MO-C930-IePD-F8-4 | The Longitudinal Impact of a Team of Medical Physicists On Computed Tomography Protocol Optimization J Meier, J Krebs, T Szczykutowicz*, University Wisconsin-Madison, Madison, WI |
MO-C930-IePD-F8-5 | Effect of Tin Spectral Filtration On Organ and Effective Dose in CT Colonography and CT Lung Cancer Screening G Fong1*, A Skalsky2, F Dong1, B Herts1, D Nachand1, A Primak3, P Segars4, X Li1, (1) Imaging Institute, Cleveland Clinic, Cleveland, OH, (2) Cleveland State University, Cleveland, OH, (3) Siemens Medical Solutions USA, Inc., Cleveland, OH, (4) Duke University, Durham, NC |
MO-C930-IePD-F9-2 | Comparison of Effective Connectivity and Functional Connectivity for Brain Health in Middle-Aged Adults K Chuang1,2*, S Ramakrishnapillai2, K Madden2, J St Amant2, K Gwizdala 2, R Dhullipudi2, L Bazzano3, O Carmichael2, (1) Louisiana State University, Baton Rouge, LA, (2) Pennington Biomedical Research Center, Baton Rouge, LA, (3) Tulane School of Public Health and Tropical Medicine, New Orleans, LA |
MO-E115-BOP-F1-5 | Prone SPECT Breast Imaging On a Dedicated Cardiac System: Initial Phantom Study Using Radiolucent Patient Support K Williams*, M Tornai, Duke University Medical Center, Durham, NC |
MO-E115-IePD-F2-1 | Influence of Abdominopelvic Air Pockets in the Dosimetric Accuracy of Online Pelvic Adaptive Radiation Therapy O Dona Lemus*, S Tanny, M Cummings, M Pacella, N Joyce, M Webster, H Jung, J Yoon, N Burns, R Nucci, E Hagenbach, D Zheng, University of Rochester, Rochester, NY |
MO-E115-IePD-F4-4 | Variational Clustering: Toward Unsupervised Machine Learning-Based Error Detection in Patient-Specific IMRT QA J Perez-sanchez*, B Lu, S Samant, J Li, C Liu, G Yan, University of Florida, Gainesville, FL |
MO-E115-IePD-F5-2 | Annihilation Gamma-Ray Interference In Tc-99m Clinical Images: Energy Spectrum Softening Due To Lead Shielding D Vergara, K Grizzard*, Yale New Haven Hospital Department of Radiology and Biomedical Imaging and Yale University School of Medicine, New Haven, CT |
MO-E115-IePD-F5-5 | Evaluating the Accuracy of a Practical and Quantitative Imaging and Dosimetry Protocol for Post-Treatment Yttrium-90 SPECT/CT S. Peter Kim1,3*, L Rodriguez1, G Herrera2, S Abbasinejad Enger3, D Alvarez1, (1) Miami Cancer Institute, Miami, Florida, , (2) Baptist Hosptial,(3) Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, CA, |
MO-E115-IePD-F6-3 | Retrospective Cardio-Respiratory Motion Corrected Dose Evaluation for the Left Ventricle and Left Ventricle Myocardium From Lung Radiation Therapy Treatments A Omidi1*, E Weiss2, J Wilson1,3, M Rosu-Bubulac2, (1) Department of Biomedical Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA, (2) Department of Radiation Oncology, School of Medicine, Virginia Commonwealth University, Richmond, VA, (3) Pauley Heart Center, School of medicine, Virginia Commonwealth University, Richmond, VA, |
MO-E115-IePD-F6-5 | Real Time Volumetric MRI From Ultra-Sparse Samples Via Implicit Neural Representation Learning R Yesiloglu1*, L Shen2, A Johansson3, Y Cao4, J Balter5, L Xing6, L Liu7, (1) Stanford University, Stanford, CA, (2)Stanford University,Palo Alto, CA, (3) Uppsala University, Sweden, (4) University of Michigan, Ann Arbor, MI, (5) University of Michigan, Ann Arbor, MI, (6) Stanford University School of Medicine, Stanford, CA, (7) Stanford University, Palo Alto, CA |
MO-E115-IePD-F6-6 | A Hybrid Model Derived From Multi-Parametric MRIs for Predicting Neoadjuvant Chemoradiation Response in Locally Advanced Rectal Cancer Hao CHEN1*, Xing Li2, X. Sharon Qi3, (1) Xi'an University of Posts and telecommunications, Xi'an, shaanxi, CN, (2) Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, CN, (3) UCLA School of Medicine, Los Angeles, CA |
MO-E115-IePD-F7-1 | Validation of the Monte Carlo Algorithm in RadianceTM Treatment Planning System Based On the BEAMnrc/ EGSnrc Built Model of the Mobetron Intraoperative Linear Accelerator Division of Medical Physics, Department of Radiation Oncology, University Medical Center Freiburg, Freiburg, Germany German Cancer consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg , Germany |
MO-E115-IePD-F7-5 | Can Image Segmentation Evaluation Metrics Be Used for Assessing the Quality of SBRT Plans? T Arsenault1*, A Amini1, A Baydoun1, B George2, L Bailey2, S Bhat2, R Kashani3, T Podder3, (1) University Hospitals Cleveland Medical Center, Cleveland, OH, (2) Case Western Reserve University, School Of Medicine,(3) Seidman Cancer Center /Uh Cleveland & CWRU, OH, Cleveland, OH |
MO-E115-IePD-F7-6 | Extracting Organ-Specific Radiobiological Parameters From Compiled Clinical Data for Reirradiation Planning of Head and Neck Cancer E Quashie, A Tai*, P Prior, M Awan, C Schultz, X Li, Medical College of Wisconsin, Milwaukee, WI |
MO-E115-IePD-F9-1 | Validation of a Commercial Artificial Intelligence Auto-Segmentation System for Head and Neck Treatment Site P Tsai, S Huang*, R Press, A Shim, C Apinorasethkul, C Chen, L Hu, E Jang, H Lin, New York Proton Center, New York, NY |
MO-E115-IePD-F9-3 | Optimizing Multispectral Singlet Oxygen Luminescence Dosimetry (MSOLD) in Photofrin-Mediated PDT R Hall, H Sun*, T Zhu, University of Pennsylvania, Philadelphia, PA |
MO-E115-IePD-F9-4 | A Novel Ultrasound Beamformer with the Align-Peak-Response for Flexible Array Transducers Z Feng*1,2,3, E Sun1,2, D China1,2, X Huang1,2, H Hooshangnejad1,2,3, E Gonzalez3, M Lediju Bell3,4,5, K Ding1,2 1. Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21287, USA. 2. Carnegie Center for Surgical Innovation, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21287, USA. 3. Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland, 21218, USA. 4. Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, 21287, USA. 5. Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, 21218, USA. |
MO-E115-IePD-F9-5 | Looking Through the Noise: Freehand Tomographic Reconstruction Using Noise Decorrelation and Acoustic Waveform Properties of 2D Images O Ivashchenko1, 2*, T Natali2, T Ruers2, (1) Leiden University Medical Center, Leiden, The Netherlands, (2) The Netherlands Cancer Institute, Amsterdam, The Netherlands |
MO-F-202-6 | Recommendations for Revision of Conservative Shielding Calculation Factors in NCRP 151 A Morice*, M Schmidt, J Kavanaugh, Washington University in St. Louis, University City, MO |
MO-FG-BRB-3 | Combining Monte Carlo Voxel-Level External Beam Radiotherapy and Iodine-131 SPECT Based Radiopharmaceutical Therapy Dosimetry Using Deformable Registration and Radiobiological Quantities D Adam*, J Grudzinski, P Hill, T Bradshaw, S Cho, A Burr, P Harari, B Bednarz, University of Wisconsin, Madison, WI |
MO-FG-BRB-4 | Computational Mapping of Lymphocytic Topology On Digital Pathology Images with Single Cell Resolution Immunohistochemistry Validation X Li1*, G Sotolongo2, Y Mowery3, J Hodgin4, A Janowczyk5, L Barisoni6, K Lafata7, (1) Duke University, Durham, NC, (2) Duke University Health System, Durham, NC, (3) Duke University Medical Center, Durham, NC, (4) University of Michigan, Ann Arbor, MI, (5) Case Western Reserve University, Cleveland, OH,(6) Duke University, Durham, NC, (7) Duke University, Durham, NC |
MO-FG-BRB-5 | Development and Validation of a Population-Based Anatomical Colorectal Model for Radiation Dosimetry in Late Effects Studies of Childhood Cancer Survivors CA Owens1,2*, B Rigaud3, E Ludmir4,5, A Gupta1,2, S Shrestha1,2, AC Paulino4, SA Smith1, CB Peterson5, SF Kry1,2, C Lee6, T Henderson7, GT Armstrong8, KK Brock1,3, RM Howell1,2, (1) The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, Houston, TX, USA, (2) MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Graduate Program in Medical Physics, Houston, TX USA, (3) The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, Houston, TX, USA, (4) The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, TX, USA, (5) The University of Texas MD Anderson Cancer Center, Department of Biostatistics, Houston, TX, USA, (6) National Cancer Institute, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA, (7) The University of Chicago, Department of Pediatrics, Chicago, IL, USA, (8) St. Jude Childrens Research Hospital, Department of Epidemiology and Cancer Control, Memphis, TN, USA |
MO-FG-BRB-6 | Explainable Machine Learning for Predicting Overall Survival of Patients with Locally Advanced Non-Small Cell Lung Cancer Treated with Photon and Proton Radiotherapy L Duan1*, S Lee1, R Caruana2, T Kegelman1, S Feigenberg1, Y Xiao1 (1) Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA (2) Microsoft Research, Redmond, WA |
MO-FG-BRB-7 | Pair Production Tomography Imaging Q Lyu*, R Neph, K Sheng, UCLA School of Medicine, Los Angeles, CA |
MO-FG-BRB-8 | Pulse to Pulse Cherenkov Imaging In Vivo During FLASH Radiotherapy Tracks Output and Surface Profiles M Rahman1*, M Ashraf1,2, R Zhang1,3,4, X Cao1,5, D Gladstone1,3,4, L Jarvis3,4, J Hoopes1,3,4,6, B Pogue1,4,6,7, P Bruza1, (1) Thayer School of Engineering, Dartmouth College, Hanover, NH, (2) Department of Radiation Oncology, Stanford University, Palo Alto, CA, (3) Department of Medicine, Radiation Oncology, Geisel School of Medicine, Dartmouth College Hanover NH, (4) Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, (5) School of Life Science and Technology, Xidian University, Xian, CN, (6) Department of Surgery, Geisel School of Medicine, Dartmouth College, Hanover, NH (7) University of Wisconsin-Madison, Madison, WI |
MO-G-202-5 | Probabilistic Interpretation of a Single-Isocenter Multi-Target SRS Robustness Analysis N Bice*, J Xue, K Osterman, D Barbee, P Galavis, T Qu, J Teruel, NYU Langone Health, New York, NY |
MO-H345-IePD-F1-4 | Define Target Volume for Cardiac Radioablation Surgery Using Integration of Endoventricle Electroanatomic Mapping and Coherent Point Drift T Chen*, H Wang, Y Yuan, C Barbhaiya, D Barbee, New York University, New York, NY |
MO-H345-IePD-F2-3 | Clinical Application of Synthetic CTs for Proton Therapy of Lung Cancer Patients VT Taasti1*, D Hattu1, I Hadzic1, S Pai1, M Gooding2, J Sage2, D De Ruysscher1, A Traverso1, R Canters1. (1) Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, Maastricht, The Netherlands; (2) Mirada Medical Ltd, Oxford, United Kingdom |
MO-H345-IePD-F2-4 | Deep Learning-Based Simultaneous Multi-Phase Deformable Image Registration of Sparse 4D-CBCT I Herzig1*, P Paysan2, S Scheib2, F-P Schilling3, J Montoya3, M Amirian3, T Stadelmann3, P Eggenberger1, R Fuechslin1, L Lichtensteiger1, (1) Zurich University of Applied Sciences ZHAW, Institute for Applied Mathematics and Physics IAMP, Winterthur, CH (2) Varian Medical Systems Imaging Laboratory, Daettwil AG, CH (3) Zurich University of Applied Sciences ZHAW, Centre for Artificial Intelligence CAI, Winterthur, CH |
MO-H345-IePD-F3-5 | On the Use of a Commercial Plastic Scintillation Detector for Determination of Detector-Specific Small Field Output Correction Factors of Other Detectors M Besnier1*, F Beaulieu1, F Berthiaume1,2, Y Cervantes Espinosa1, B Cote2, S Lambert-Girard1,2, D Leblanc1,2, Y Lechasseur2, F Therriault-Proulx2, L Archambault1, L Beaulieu1, L Gingras1, (1) CHU De Quebec - Universite Laval, Quebec, QC, CA, (2) Medscint Inc., Quebec, QC, CA |
MO-H345-IePD-F4-2 | Evaluation of Abdomen IMPT Treatments Using Deformed Treatment Planning CT Based On Pre-Treatment Cone-Beam CT S Charyyev, M McDonald, A Dhabaan*, Emory Univ, Atlanta, GA |
MO-H345-IePD-F6-6 | Evaluation of Striatal Functional Connectivity Changes Across Heavy and Non-Heavy Alcohol Drinking Rhesus Macaques with Resting State FMRI K Ruano Espinoza1, 2*, K Grant 2* C Kroenke 3,2*, (1) Oregon Health and Science University (OHSU), Beaverton, OR (2) Oregon National Primate Research Center, Division of Neuroscience, Hillsboro, OR (3) Advanced Imaging Research Center, Portland, OR |
MO-H345-IePD-F7-1 | Automating Contouring and Treatment Planning for Pediatric 3D-Craniospinal Irradiation Therapy S Hernandez1,2*, J Parkes3, H Burger3, C Nguyen2, D Rhee2, A Paulino2, T Netherton1,2, R Mumme2, J Guma-de La Vega2, J Duryea2, C Cardenas4, R Howell1,2, D Fuentes1,2, J Pollard-Larkin1,2, L Court1,2, (1) UT MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX (2) The University of Texas MD Anderson Cancer Center, Houston, TX (3)Department of Radiation Oncology, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa (SA) (4) Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL |
MO-H345-IePD-F7-6 | Development and Implementation of An Automated Planning Algorithm for Multi-Metastatic Stereotactic Radiosurgery Using Eclipse Scripting T Mann1,2*, N Ploquin1,2, K Thind1,3, (1) University of Calgary, Calgary, Alberta, CA, (2) Tom Baker Cancer Centre, Calgary, AB, CA, (3) Henry Ford Health Systems, Detroit, Michigan |
MO-I430-BReP-F1-2 | Diagnostic Performance of Lung Cancer Screening On Low Dose CT C Read*, T Tailor, K Smith, M Cerullo, L Strickland, C Wang, B Tong, K Lafata, Duke University Medical Center, Durham, NC |
MO-I430-BReP-F1-3 | CT Dose Index Determination in Dose Modulation Prospectively Involving the Third-Generation Iterative Reconstruction and Noise Index A Scott*, Y Zhou, C Lee, E Eastman, Cedars-Sinai Medical Center, Los Angeles, CA |
MO-I430-BReP-F1-4 | How Accurate Is in Vivo Noise Estimation From Patient CT Images? Validation of Methods Against Ensemble Noise Gold Standard F Ria1,2,3,*, H Setiawan2,3, E Abadi2,3, J Solomon1,2,3,, E Samei1,2,3, (1) Clinical Imaging Physics Group Duke University Health Systems, Durham, NC, (2) RAI Labs Duke University, Durham, NC, (3) Center for Virtual Imaging Trials Duke University, Durham, NC |
MO-I430-BReP-F1-5 | Dose Assessment On the Use of Tin Spectral Filtration for CT Colonography G Fong1*, X Li1, N Obuchowski1, D Nachand1, F Dong1, A Primak2, W Karim1, B Herts1, (1) Cleveland Clinic, Cleveland, OH, (2) Siemens Medical Solutions USA, Inc., Cleveland, OH |
PO-GePV-E-1 | A Virtual Physics Lab to Educate the Public About Radiation J Jing1*, H Lin1, (1)Physics Department. Hefei University of Technology, Hefei, Anhui ,CN |
PO-GePV-I-1 | Comparing Effective Doses for Hip Imaging Using Cone Beam CT (CBCT) and Multidetector CT (MDCT) J Dave1, X Jiang2*, P Machado1, C Roth1, T Minch3, (1) Thomas Jefferson University, Philadelphia, PA, (2) Ohio State University, Columbus, OH, (3) Curvebeam, Hatfield, PA |
PO-GePV-I-2 | Short-Scan Cone-Beam Dedicated Breast CT: Self-Supervised Denoising From Single Image Z Fu1*, H Tseng1, A Karellas1, S Vedantham1,2, (1) Department of Medical Imaging, University of Arizona, Tucson, AZ, (2) Biomedical Engineering, University of Arizona, Tucson, AZ |
PO-GePV-I-3 | Evaluation of the IVIscan Detector for Regulatory Dosimetric Quality Control Including Wide Radiation Beam for Computed Tomography and Cone-Beam Computed Tomography in Radiotherapy C POPOTTE1*, M Munier2, C Devic , N Guillochon2, D Paul1, (1) INSERM UMR 1296, Lyon, ,FR, (2) Fibermetrix, Strabourg, ,FR, |
PO-GePV-I-5 | Effective Doses for Extremity Imaging Using Cone Beam CT Scanners J Dave1*, T Minch2, (1) Thomas Jefferson University, Philadelphia, PA, (2) Curvebeam, Hatfield, PA |
PO-GePV-I-6 | An Approach to Convert Dose Quantities From CT- and CBCT-Imaging M Borowski1*, L Pirl1, S Ketelhut2, M Kuhlmann2, L Bueermann2, (1) Klinikum Braunschweig, Braunschweig, DE, (2) Physikalisch-Technische Bundesanstalt, Braunschweig, DE |
PO-GePV-I-8 | Study On Image Quality Influenced by Two Decomposition Algorithms of Dual Energy Cone Beam CT Z Dong*, C Li, Institute of Medical Technology, Peking University Health Science Center. Beijing 100191 China |
PO-GePV-I-9 | Segmentation of Tumor and Organs at Risk for CBCT-Based Online Adaptive Radiotherapy Using Recurrent Neural Networks with Multi-Scale Memory H Zhao*, X Liang, B Meng, M Dohopolski, B Choi, B Cai, M Lin, T Bai, D Nguyen, S Jiang, UTSW, Dallas, TX |
PO-GePV-I-10 | Development of a Deformable Image Registration Technique for Abdominal Cone-Beam CT Using Deep Learning with Generative Adversarial Network Y Zhang1,2, Y Liu1,2, l tie1,2, H Gong2, W Zhao1, G Zhang1, S Xu3*, (1) Beihang University, School of Physics, Beijing, China. (2) The First Medical Center of PLA General Hospital, Department of Radiation Oncology, Beijing, China.(3) National Cancer Center/Cancer Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Radiation Oncology, Beijing, China |
PO-GePV-I-12 | A Hybrid Scatter Correction Algorithm for CBCT to Incorporate System-Specific Information with a Deep Learning-Based Scatter Correction Algorithm H Lee*, A Lalonde, B Winey, G Sharp, H Paganetti, Massachusetts General Hospital / Harvard Medical School, Boston, MA |
PO-GePV-I-13 | Comparison of Patient-Specific Deep Learning Models for Enhancing 4D-CBCT Image for Radiomics Analysis Z Zhang1*, M Huang2, Z Jiang3, Y Chang4, K Lu5, Z Qiao6, F Yin7, P Tran8, D Wu9, C Beltran10, L Ren11, (1) Duke University, Durham, NC, (2) Mayo Clinic Florida, Jacksonville, FL, (3) Nanjing University, Nanjing, 32, CN, (4) University of Hospital of Pennsylvania, Philadelphia, PA, (5) Duke University, Chapel Hill, NC, (6) University of Florida, Gainesville, FL, (7) Duke University Medical Center, Chapel Hill, NC, (8) University of Maryland, Baltimore, MD, (9) University of Florida, ,,(10) Mayo Clinic, Jacksonville, FL, (11) University of Maryland, Baltimore, MD |
PO-GePV-I-15 | CT Simulation Realism: What Are the Impacts of Simulation Parameters? I Montero1,2,4*, S Sotoudeh-Paima1,2,3,5, E Abadi1,2,3,4,5, E Samei1,2,3,4,5, (1) Duke University Health System, Durham, NC, (2) Center for Virtual Imaging Trials, Durham, NC,(3) Carl E. Ravin Advanced Imaging Laboratories, Durham, NC, (4) Medical Physics Graduate Program, Duke University School of Medicine, Durham, NC, (5) Department of Electrical and Computer Engineering, Duke University, Durham, NC |
PO-GePV-I-17 | Evaluation of Automatic Prostate Volume Generation for Cone-Beam CT-Based Delta-Radiomics of Prostate Cancer A Deana, R Delgadillo, R Schmidt, B Spieler, J Ford, D Kwon, M Studenski, K Padgett, M Abramowitz, A Dal Pra, R Stoyanova, N Dogan*, University of Miami, Miami, FL |
PO-GePV-I-18 | Low-Dose Cone-Beam Dedicated Breast CT: Self-Supervised Denoising From Single Image Z Fu1*, H Tseng1, A Karellas1, S Vedantham1,2, (1) Department of Medical Imaging, University of Arizona, Tucson, AZ, (2) Department of Biomedical Imaging, University of Arizona, Tucson, AZ |
PO-GePV-I-20 | Real-Time 3D CT Reconstruction and Tumor Segmentation Based On Single X-Ray Image at Any Gantry Angle M Zhang1, B Liu1,2*, R Wei3, F Zhou1,2, (1) Image Processing Center, Beihang University, Beijing,100191,CN, (2) Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing,100083,CN(3) National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing,100021,CN |
PO-GePV-I-26 | Comparison Between EPI DWI and PROPELLER DWI in MR Brain Imaging P Mavroidis1*, E Giankou2, M Papaioannou3, V Roka4, A Tsikrika5, S Kostopoulos6, D Glotsos7, G Sakkas8, E Dardiotis9, D Chaniotis10, S Stathakis11, E Kapsalaki12, E Lavdas13, (1) University of North Carolina, Chapel Hill, NC, (2) ,,,(3) Animus Kyanoys Stavros, Larissa, ,GR, (4) Health Center of Farkadona, Trikala, ,GR, (5) General University Hospital of Larissa, Larissa, ,GR, (6) University of West Attica, Athens, ,GR, (7) ,,,(8) University of Thessaly, Trikala, ,GR, (9) ,,,(10) ,,,(11) Mays Cancer Center - MD Anderson Cancer Center, San Antonio, TX, (12) ,,,(13) University of West Attica, Athens, ,GR |
PO-GePV-I-31 | Quantifying the Influence of a Vendor DL Reconstruction Algorithm On MR Image Quality J Sanders, RJ Stafford*, C Walker, UT MD Anderson Cancer Center, Houston, TX |
PO-GePV-I-39 | Developing a 3D Printed Phantom for Multi-Institutional Radiomic Studies and Assessment Software to Evaluate a Radiomic Software S Duong1, D Lee2, S Oh3, X Chen4, M Hwang5, H Li6, Y Cui7, M Boss8, Y Xiao9, J Sohn10*, (1) ,,,(2) Allegheny Health Network, Pittsburgh, PA, (3) Allegheny General Hospital, Wexford, PA, (4) Allegheny Health Network, Drexel University, Pittsburgh, PA, (5) Allegheny Health Network, Pittsburgh, PA, (6) Johns Hopkins Medicine, Washington, DC, (7) Duke University Medical Center, Durham, NC, (8) American College of Radiology, Malvern, PA, (9) University of Pennsylvania, Philadelphia, PA, (10) Allegheny Health Network, Pittsburgh, PA |
PO-GePV-I-41 | 3D Super-Resolution Reconstruction for Hippocampus Sparing in Brain Radiotherapy (in Silico Study) Juyoung Lee1,2*, Jaehee Chun2,3, Jin Sung Kim2,3, Taeho Kim1, (1) Washington University School of Medicine in St. Louis, St. Louis, MO, (2) Yonsei University College of Medicine, Seoul, KR, (3) Oncosoft Inc., Seoul, KR |
PO-GePV-I-46 | Machine Learning Algorithms Accurately Predict Organ and Effective Dose in Pediatric Computed Tomography Y Gao*, U Mahmood, W Tang, L Dauer, Y Erdi, Memorial Sloan-Kettering Cancer Ctr, New York, NY |
PO-GePV-I-47 | Development of a Web-Based Tool for the Estimation of Organ Doses in Pediatric and Adult Chest CT Examinations J Damilakis*, J Stratakis, M Myronakis, |
PO-GePV-I-50 | The Effect of Beam Overlapping in Dual-Energy Volume CT Scans and Single-Energy Helical Scans N Correa*, I Barreto, M Arreola, University of Florida, Gainesville, FL |
PO-GePV-I-51 | Development and Verification of a Subregional Radiomic Framework for Image Segmentation J Gu1*, B Li1, J Zhu2, (1) Southeast University, Nanjing, JiangSu, CN, (2) Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, CN |
PO-GePV-I-52 | Infuence of Abnormal Right Coronary Artery Originating From the Left Coronary Sinus in Hemodynamic Environment H Zhao*, M Cong, J Qiu, S Sun, The Second Affliated Hospital of Shandong First Medical University, Tai'an, Shandong,CN |
PO-GePV-I-54 | Optimized Practice for Metal Artifact Reduction J Dumas*, A Bruget, R Dal, L De Marzi, V Calugaru, R Ferrand, Institut Curie, Paris FR |
PO-GePV-I-55 | Photon Counting Detector: The First Human Images I Bechwati1*, D Lee2, D Kim3, J Park4, (1) NeuroLogica Corporation, Danvers, MA, (2) Neurologica Corporation, Danvers, MA, (3) Samsung Electronics, Suwon, S. Korea,(4) Samsung Electronics, Suwon, S. Korea |
PO-GePV-I-56 | Development of An Ultra-Low Dose Computed Tomography Protocol for Detection of Inhaled Foreign Bodies in Pediatric Patients C Kofler*, I Reiser, E Marshall, Z Lu, K Feinstein, M Zaritzky, Department of Radiology, The University of Chicago, Chicago, IL |
PO-GePV-I-57 | Analysis of Computed Tomography Radiation Dose in Southern California Hospitals J Deslongchamps*, J Wang, J Clements, Kaiser Permanente, Los Angeles, CA |
PO-GePV-I-58 | Organ Dose Reduction with a Limited Scan range CT Protocol for Evaluation of Appendicitis E Tonkopi*, A Dowhanik, A Costa, Dalhousie University, Nova Scotia Health Authority, Halifax, CA, |
PO-GePV-I-59 | Variability of Radiomics Features with O-MAR Iterative Reconstruction J Foy*, Northwestern University, Chicago, IL |
PO-GePV-I-61 | Personalized Patient-Adaptive Sparse-View CT Deep Reconstruction B Song*, L Shen, L Xing, Stanford University School of Medicine, Stanford, CA |
PO-GePV-I-64 | Assessment of the Generalizability of Organ Segmentation CNNs Across CT Scanner Manufacturers A Weisman*, M La Fontaine, O Lokre, R Munian-govindan, T Perk, AIQ Solutions, Madison, WI |
PO-GePV-I-69 | Investigating the Effect of Reducing Radiation Dose On Quantitative Imaging Features Extracted From CT Renal Perfusion Protocol M Daly*, M Wahi-Anwar, G Melendez-Corres, G Kim, S Raman, M McNitt-Gray, David Geffen School of Medicine at UCLA, Los Angeles, CA |
PO-GePV-I-71 | CT-Dose: Software Interface to Calculate Dose to Organ in Medical Imaging S. Morato1,2,3*, R. Miro3, B. Juste3, S. Oliver3, J. Vijande1,2,4, F. Ballester1,4, G. Verdu3, A. Santos5, Matthew M. Mille6, (1) Departamento de Fisica Atomica, Molecular y Nuclear, Universitat de Valencia (UV), Burjassot, ES, (2) Instituto de Fisica Corpuscular, IFIC (UV/CSIC), Burjassot, ES, (3) Institute for Industrial, Radiophysical and Environmental Safety (ISIRYM), Universitat Politecnica de Valencia, Valencia, ES, (4) Unidad Mixta de Investigacion en Radiofisica e Instrumentacion Nuclear en Medicina (IRIMED), Instituto de Investigacion Sanitaria La Fe (IIS/La Fe)/Universitat de Valencia (UV), Valencia, ES, (5) Servicio De Radiofisica. Consorci Hospitalari Provincial De Castello, Castellon, ES. (6) Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, United States. |
PO-GePV-I-93 | Characterization of the Modified Solid-State Detector, RTI R-100M, in the Diagnostic Energy Range Compared Against Production Model RTI R-100 and Ionization Chamber A Aljabal*, P Lin, M Ghita, Virginia Commonwealth University, Richmond, VA |
PO-GePV-M-9 | Auto Segmentation Model for Head and Neck Cancer Patients Using U-Net with Convolutional Block Attention Modules K Yamamoto1*, R Nakagami1, M Nakano2, H Ishiyama2, Y Tanaka3, T Hasegawa1, M Hashimoto1, (1) Kitasato University School of Allied Health Sciences, Sagamihara, Kanagawa, JP, (2) Kitasato University School of Medicine, Sagamihara, Kanagawa, JP, (3) Kitasato University Graduate School of Medical Sciences, Sagamihara, Kanagawa, JP |
PO-GePV-M-13 | Exploring the Combination of Deep-Learning Based Direct Segmentation and Deformable Image Registration for Cone-Beam CT Based Auto-Segmentation for Adaptive Radiotherapy X Liang*, H Morgan, T Bai, M Dohopolski, D Nguyen, S Jiang, University of Texas Southwestern Medical Center, Dallas, TX |
PO-GePV-M-20 | A Hybrid Tumor Model for Ultra-Large-Scale Heterogeneous Vascular Tumor Growth J Du1*, Y Zhou2, L Jin2, K Sheng1, (1) UCLA School of Medicine, Los Angeles, CA, (2) UCLA School of Engineering, Los Angeles, CA |
PO-GePV-M-26 | Standardization Process of Nomenclature Application in Head and Neck Tumor in Multi-Center for Radiotherapy W Zheng1,2, S Huang1, L Ye1,3, X Zhang1,4, Y Duan2, X Yang1*, (1) Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong province, 510060, China, (2) Department of Radiation Oncology, Southern Theater Air Force Hospital of the People's Liberation Army, Guangzhou, Guangdong province, 510050, China, (3) Department of Radiation Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, 510095, China,(4) Department of Radiation Oncology, The Fifth Affiliated Cancer Hospital of Guangzhou Medical University, 510799, China |
PO-GePV-M-34 | Clinical Implementation of the Pancreatic Cancer Fast CT-CBCT Registration Network Model E LoCastro1*, J Hong2, Y Hu3, X Han4, A Apte5, G Mageras6, (1) Memorial Sloan Kettering Cancer Center, New York, New York, (2) MSKCC, New York, NY, (3) Memorial Sloan Kettering Cancer Center, New York, NY, (4) Unc Chapel Hill, ,,(5) Memorial Sloan-Kettering Cancer Center, Maywood, NJ, (6) Memorial Sloan-Kettering Cancer Center, New York, NY |
PO-GePV-M-35 | Convolutional Neural Networks for the Automated Segmentation of Malignant Pleural Mesothelioma: Analysis of Performance Based On Probability Map Threshold M Shenouda1*, E Gudmundsson2, F Li1, C Straus1, H Kindler1, A Dudek3, T Stinchcombe4, X Wang4, A Starkey1, S Armato1, (1) The University of Chicago, Chicago, IL, (2) UCL Hospitals NHS Trust, UK, (3) Health Partners Institute, HealthPartners Cancer Care Center, St. Paul, MN, (4) Duke University, Durham, NC |
PO-GePV-M-41 | OrXnet: Extracting Lung Projection From Composite X-Ray Projection with High Fidelity Q Xu1*, D Xu1, 2, D Ruan1, K Sheng1, (1) UCLA School of Medicine, Los Angeles, CA, (2) UCLA Computer Science, Los Angeles, CA |
PO-GePV-M-46 | Region Specific Optimization (RSO)-Based Deep Interactive Registration T Bai1*, M Lin1, X Liang1, B Wang1,2, M Dohopolski1, B Cai1, D Nguyen1, S Jiang1, (1) The University of Texas Southwestern Medical Ctr, Dallas, TX, (2) Southern Methodist University, Dallas, TX |
PO-GePV-M-47 | IBSI-Compatible Convolutional Image Texture Filters in CERR A Iyer*, E LoCastro, H Veeraraghavan, J Deasy, A Apte, Memorial Sloan Kettering Cancer Center, New York, NY |
PO-GePV-M-48 | Automatic Quantification of Organ at Risk Contour Overlap and Separation in Radiotherapy J Brooks1*, A Anand2, R Foote1, D Hobbis2, A Jackson3, J Lucido1, J Ma1, D Pafundi3, S Patel2, Y Rong2, D Routman1, B Stish1, E Tryggestad1, S Yaddanapudi3, D Moseley1, (1) Mayo Clinic, Rochester, MN (2) Mayo Clinic Arizona, Phoenix, AZ (3) Mayo Clinic Jacksonville, Jacksonville Beach, FL |
PO-GePV-M-50 | A Radiomics Application of the Two-Stage Clustering Algorithm for Finding Classes From a Large Sample with Many Variables Y Watanabe*, N Gopishankar, (1) University of Minnesota, Minneapolis, MN, (2) AIIMS, Delhi, India |
PO-GePV-M-54 | Computational Triage of Severe Patients Caused by Coronavirus Disease 2019 Pneumonia On CT Images with Radiomic Signatures T Iwasaki1*, H Arimura2, K Ninomiya2, H Iwanaga1, (1) The University of Tokyo Hospital, Tokyo, JP, (2) Kyushu University, Fukuoka, JP |
PO-GePV-M-59 | Brain Metastasis Stereotactic Radiosurgery Radiomics-Based Outcome Prediction Accuracy Is Dependent On Metastasis Volume and MRI Scanner D DeVries1,2*, F Lagerwaard3, J Zindler4,5, T Yeung6, G Rodrigues1,2, G Hajdok1,7, A Ward1,2, (1) Western University, London, ON, CA, (2) London Regional Cancer Program, London, ON, CA, (3) Amsterdam UMC, Amsterdam, NL, (4) Haaglanden Medical Centre, Den Haag, NL, (5) Holland Proton Therapy Centre, Delft, NL, (6) Reflexion Medical Inc, (7) Niagara Health, ON, CA |
PO-GePV-M-60 | Assessing Role of Feature Selection in Deep Transfer Classification of Indeterminant Thyroid Nodules JL Cozzi*, H Li, J Williams, J Conn Busch, L Lan, XM Keutgen, ML Giger, University of Chicago, Chicago, IL |
PO-GePV-M-65 | A Comparative Evaluation of Radiomic Feature Selection and Machine Learning Models for Clinical Outcome Prediction in Lung Cancer G Ge*, J Zhang, University of Kentucky, Lexington, KY |
PO-GePV-M-66 | Evaluation of Repeatability and Reproducibility of Radiomic Features Produced By The Fan-Beam KV-CT On A Novel Ring Gantry-Based PET/CT Linear Accelerator Using Two IBSI-Compliant Software Packages T Ketcherside1, A Sundquist2, C Han1, W Watkins1, L Court3, C Huntzinger2, Q Chen1, T Williams1, A Liu1*, (1) City of Hope Medical Center, Duarte, California, (2) Reflexion Medical Inc, Hayward, CA (3) UT MD Anderson Cancer Center, Houston, TX, |
PO-GePV-M-68 | Stability of Radiomics Features Using 4D-CT Across Radiomics Platforms and Contour Variations for Lung and Liver Tumors X Wang1*, C Ma1, Y Li1,2, Y Zhang1, Y Zhang1, N Yue1, K Nie1, (1) Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, (2) Saint Vincent Hospital, Worchester, MA |
PO-GePV-M-75 | Monte-Carlo Dose Calculation System for Interventional Radiology (McDCIR) - Development and First Test H Han1*, S Moon1, G Son1, C Kim1, S Song2, (1) Hanyang University, Seoul, ,KR, (2) Hanyang University Medical Center, Seoul,KR |
PO-GePV-M-79 | Clinical Implementation of the Philips Orthopedic Metallic Artifact Reduction (OMAR) Algorithm for Proton Radiotherapy CT Simulations N Miksys*, C Curley, R Tokarz, Ackerman Cancer Center, Jacksonville, Florida |
PO-GePV-M-80 | Beam Path Length From Isocenter to Skin On Cone-Beam CT Images as An Adaptive Planning Indicator in Proton Therapy for Extremity Tumors N C Biswal*, B Zhang, E Nichols, M E Witek, W F Regine, B Yi, University of Maryland School of Medicine, Baltimore, MD |
PO-GePV-M-82 | The Pearson Correlation Coefficient of Target and the Beam Path Length Using Cone-Beam CT Images as Adaptive Planning Indicators of Head and Neck Patients Undergoing Proton Therapy D Han1*, N Biswal2, B Zhang3, M Witek4, B Yi5, (1) University of Maryland, Baltimore, MD, (2) Unversity of Maryland, School of Medicine, Bel Air, MD, (3) University of Maryland School of Medicine, Baltimore, MD, (4) University Of Maryland School Of Medicine, ,,(5) University of Maryland School of Medicine, Baltimore, MD |
PO-GePV-M-90 | Proton Radiography as a Quality Control Tool for 3D and 4D Thorax Synthetic CTs C Seller Oria1*, A Thummerer1, J Free1, G Guterres Marmitt1, A Meijers2, A Knopf123, J Langendijk1, S Both1, (1) Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands, (2) Center for Proton Therapy, Paul Scherrer Institute, Villigen, Switzerland, (3) Department of Internal Medicine, Center for Integrated Oncology Cologne, University Hospital of Cologne, Cologne, Germany |
PO-GePV-M-91 | Simulations and Measurements of Proton Radiography Images with Pixelated Silicon Detectors M Hoetting1*, E Beyreuther2,4, S Gantz2,3, K Kroeninger1, A Luehr1, J Pawelke2,3, I Schilling1, J Schlingmann1, H Speiser1, J Weingarten1, (1) TU Dortmund University, Department of Physics, Dortmund, Germany, (2) OncoRay, National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden and Helmholtz-Zentrum Dresden-Rossendorf, Germany, (3) Institute of Radiooncology-OncoRay, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, (4) Institute of Radiation Physics, Helmholtz-Zentrum Dresden-Rossendorf, Germany, |
PO-GePV-M-95 | Investigation of Concentric Rings Artifact Near the Diaphragm Region On 4DCT D Wang*, P Klages, J Sillanpaa, D Lovelock, U Mahmood, Memorial Sloan Kettering Cancer Center, New York, NY |
PO-GePV-M-96 | Assessing the Ability to Detect Lung Target Amplitude Changes Between 3D CBCT and 4D CBCT by Geometric and Dosimetric Evaluation C Baley*, N Kirby, S Stathakis, N Papanikolaou, D Saenz, University of Texas HSC SA, San Antonio, TX |
PO-GePV-M-98 | An Improved 4DCT Reconstruction Algorithm for Patients with Irregular Breathing A Harnage1*, C Ramsey1,2, M Ratner1, J Bowling2, I Pfeiffer2, (1) University of Tennessee, Knoxville, TN, (2) Thompson Cancer Survival Center, Knoxville, TN |
PO-GePV-M-101 | Can Gating Percentiles Selected From the Phase-Based Planning 4DCT Be Applied for Amplitude-Gated Treatments? L Lu*, C Poduska, P Qi, K Stephans, P Xia, The Cleveland Clinic Foundation, Cleveland, OH |
PO-GePV-M-106 | Online Plan Adaptation in Intensity-Modulated Proton Therapy Based On Planned Versus Cumulative Dose Indices M Bobic1,2*, K Nesteruk1, H Lee1, A Lalonde1, B Winey1, A Lomax2,3, H Paganetti1, (1) Massachusetts General Hospital and Harvard Medical School, Boston, MA, (2) ETH Zurich, Zurich, CH, (3) Paul Scherrer Institute, Villigen, CH |
PO-GePV-M-107 | A New Metric of Contour and Dose Accuracy Applied to Automated Adaptation Features in a Commercial TPS M Bogue1*, J Chen2, E Yu3, J Patrick4, R Munbodh3, (1) University of Rhode Island, Kingston, RI, (2) Brown University, Providence, RI, (3) Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI, (4) London Regional Cancer Program, London, ON, CA |
PO-GePV-M-114 | A Dosimetric Comparison for Adaptive Cone-Beam CT and MRI Based Radiotherapy for Stereotactic Partial Breast Irradiation D Parsons*, L Chen, H Lee, Y Zhang, B Cai, T Zhuang, B Hrycushko, C Park, Y Gonzalez, X Zhong, J Visak, C Nwachukwu, N Kim, P Alluri, A Rahimi, M Lin, University of Texas Southwestern Medical Center, Dallas, TX |
PO-GePV-M-118 | Variations in Rectal Volume and Dose as Estimated On Daily CBCT and the Association with Radiation Proctitis During IMRT for Prostate Cancer W Martin*, W Bodner, V Cardozo, L Goddard, J Tang, S Kalnicki, M Garg, W Tome, P Brodin, Montefiore Medical Center, Bronx, NY |
PO-GePV-M-126 | Metal Artifact Reduction in Cone-Beam Computed Tomography for Ultrasound-Guided Cardiac Radioablation Using Protons S Puvanasunthararajah1*, S Camps2, M Wille3, P Ramachandran4, D Fontanarosa5, (1) Queensland University of Technology, Brisbane, Queensland, Australia, (2) EBAMed SA, Geneva, Switzerland,(3) Queensland University Of Technology, Brisbane, Queensland, Australia,(4) Princess Alexandra Hospital, Brisbane, Queensland, Australia,(5) Queensland University of Technology, Brisbane, Queensland, Australia |
PO-GePV-M-136 | Cranial Dose Calculation On Synthetic CT for Gamma Knife Radiosurgery F Li1*, A Xu2, O Dona Lemus3, T Wang4, M Sisti5, C Wuu6, (1) Columbia University, New York, NY, (2) Columbia University Medical Center, New York, NY, (3) University of Rochester, Rochester, NY, (4) Columbia University Medical Center, New York, NY, (5) Columbia University Medical Center, New York, NY, (6) Columbia Univ, New York, NY |
PO-GePV-M-142 | Neural-Network Based Rib Removal On Simulated Thoracic Radiography Q Xu1*, D XU1,2, D Ruan1, K Sheng1, (1) UCLA School of Medicine, Los Angeles, CA, (2) UCLA Computer Science, Los Angeles, CA |
PO-GePV-M-144 | Generation of Synthetic CT From CBCT Images to Reconstruct Dose for Lung Cancer Radiotherapy D Patel1*, T Stanescu2, J-P Bissonnette2, (1) University of Toronto, Toronto, ON, CA, (2) Princess Margaret Cancer Centre, Toronto, ON, CA |
PO-GePV-M-150 | Feasibility of Using the Planning CT (pCT) Electron Density Calibration Curve for Prostate Cancer Adaptive Planning Based On Daily Cone-Beam CT P Shukla*, D Mynampati, P Brodin, A Lukaj, R Yaparpalvi, A Basavatia, W Tome, Montefiore Medical Center, Bronx, NY |
PO-GePV-M-151 | Evaluation of Efficacy of Iterative Metal Artifact Reduction Algorithm with the Beam Hardening Correction in Image Quality and Radiation Therapy C Kim*, N Vassell, Y Na, Mount Sinai Health System, New York, New York |
PO-GePV-M-153 | Using StyleGAN for Unpaired Image Translation Between CBCT and CT for Adaptive Proton Treatment D Tang*, T Bortfeld, S Yan, Massachusetts General Hospital and Harvard Medical School, Boston, MA |
PO-GePV-M-154 | During-Treatment Imaging Feasibility for Intrafraction Stereotactic Spine Treatment Evaluations M Liu1*, D Drake2, D Lack3, M Sigler4, J Sliwinski5, K Barton6, D To7, I Grills8, J Liang9, (1) William Beaumont Hospital, Troy, Troy, MI, (2) William Beaumont Hospital, Royal Oak, MI, (3) William Beaumont Hospital, Troy, Troy, MI, (4) Beaumont, Troy, MI, (5) William Beaumont Hospital, (6) Varian, Troy, MI, (7) Beaumont Health, Center Line, MI, (8) Beaumont Health System, Royal Oak, MI, (9) William Beaumont Hospital, Troy, MI |
PO-GePV-M-159 | Impact of Parameter Selection and Setup Conditions On Image Quality of a Novel On-Board Helical KVCT R Tegtmeier*, W Ferris, J Bayouth, W Culberson, University of Wisconsin-Madison, Madison, WI |
PO-GePV-M-160 | Simulating Head Motion in a Planning CT for Data Augmentation of Head and Neck Based Deep-Learning Networks M Gardner1*, Y Ben Bouchta1, J Sykes2, P Keall1, (1) University of Sydney, Sydney, NSW, AU (2) Blacktown Hospital, Blacktown, NSW ,AU, |
PO-GePV-M-161 | Interfractional Motion and Setup Errors for Compression-Belt-Immobilized Lung-SBRT Quantified with CBCT B Rudek*, Jamaica Plain VA Medical Center, Boston, MA |
PO-GePV-M-162 | Variation in Relative Left and Right Diaphragm Positions Across Imaging Sessions Using CT Simulation and Cone-Beam CT Images M Lauria1*, K Singhrao2, J Lewis3, D O'Connell1, W Lin4, A Santhanam1, L Naumann1, B Stiehl1, P Boyle1, P Lee5, D Low1, (1) UCLA, Los Angeles, CA, (2) UCSF, San Francisco, CA, (3) Cedars-Sinai Medical Center, Pacific Palisades, CA, (4) Pepperdine University, Malibu, CA, (5) MD Anderson Cancer Center, Houston, TX |
PO-GePV-M-163 | Daily Coverage Assessment Using Deep Learning Generated Synthetic CT for Lung SBRT Patients R LJ Qiu1, Y Lei1, J Shelton1,2, K Higgins1, J Bradley1, W Curran1, T Liu1, A Kesarwala1, X Yang1, (1) Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA (2) Department of Radiation Oncology, Grady Memorial Hospital, Atlanta, GA |
PO-GePV-M-164 | Evaluation of the Dose Delivered by Cone-Beam CT Patient Positioning Exams During Prostate VMAT Treatments with An Innovative Plastic Scintillating Detector C POPOTTE1*, R Letellier2, P Retif2, M Munier3, D Paul1, (1) INSERM UMR 1296, Strabsourg, ,FR, (2) Chr Metz-thionville, Metz, ,FR,(3) Fibermetrix, strasbourg, ,FR |
PO-GePV-M-167 | Feasibility Study of Quantifying the Dosimetric Discrepancies of Planned Dose in Comparison to Delivered Dose Utilizing Daily Cone-Beam Computed Tomography (CBCT) T Cuthbert1*, S Stathakis2, P Mavroidis3, N Papanikolaou4, W Jones5, (1) UT Health Sciences Center, San Antonio, TX, (2) Mays Cancer Center - MD Anderson Cancer Center, San Antonio, TX, (3) University of North Carolina, Chapel Hill, NC, (4) University of Texas HSC SA, San Antonio, TX, (5) University of Texas HSC San Antonio, San Antonio, TX |
PO-GePV-M-168 | Feasibility Study of Deep Learning Based ITV Prediction in Cone Beam CT Images & It’s Dosimetric Study of Lung SBRT S Zhang1, Z Li2, E Yang3, Y Li4, L Zhang5, X Zheng6, J Qiu7*, (1) Department of Radiation Oncology, Huadong Hospital, Fudan University,, Shanghai, 31, CN, (2) Duke Kunshan University, Kunshan, 32, (3) Department of Radiation Oncology, Huadong Hospital, Fudan University,, Shanghai, 31, CN, (4) Department of Radiation Oncology, Huadong Hospital, Fudan University,, Shanghai, 31, CN, (5) Department of Radiation Oncology, Huadong Hospital, Fudan University,, Shanghai, 31, CN, (6) Department of Radiation Oncology, Huadong Hospital, Fudan University,, Shanghai, 31, (7) Department of Radiation Oncology, Huadong Hospital, Fudan University,, Shanghai, 31, CN |
PO-GePV-M-169 | Development of An Image-Plan-Treat Workflow On An Integrated KVCT and Linac System G Chen, A Tai, K Kainz, Y Zhang, A Amjad, H Jassar*, X Li, Medical College of Wisconsin, Milwaukee, WI |
PO-GePV-M-178 | Lymphocyte-Sparing Radiotherapy: Reducing Dose to Lymphocyte-Related Organs at Risk in Locally Advanced Lung Cancer N Bassiri, M Daly, T Yamamoto*, UC Davis School of Medicine, Sacramento, CA |
PO-GePV-M-179 | Consistency Between Two Independent Methods of Lobe-Wise Ventilation Calculation From Free-Breathing CT M Lauria*, B Stiehl, D O'Connell, A Santhanam, L Naumann, P Boyle, I Barjaktarevic, D Low, UCLA, Los Angeles, CA |
PO-GePV-M-181 | MR-CT Image Registration by Using Unsupervised Deep Learning Model M Tavakoli1*, S Abbasi2, H Hamid Reza Boveiri3, M Mosleh-Shirazi4, A Mehdizadeh5, (1) University of Pittsburgh School of Medicine and UPMC Hillman Cancer Center, Pittsburgh, PA, USA, PA, (2) Shiraz University of Medical Sciences, Shiraz, IR, (3) Sama College, Iau, Shoushtar Branch, (4) Shiraz University of Medical Sciences, Shiraz, IR, (5) Shiraz University Of Medical Sciences, |
PO-GePV-M-183 | A Hybrid Framework to Quantitatively Assess Deformable Image Registration Accuracy with a Complete Implementation of TG-132 Based Validation L Naumann*, B Stiehl, M Lauria, P Boyle, D Low, A Santhanam, UCLA, Los Angeles, CA |
PO-GePV-M-186 | Quantitative Evaluation and Feasibility Study of Using AI Denoising Technique to Minimize Image Dose of 2.5MV Beam H Kuo1*, S Lim1, S Lin2, J Sillanpaa1, L Cervino1, (1) Memorial Sloan Kettering Cancer Center, New York, NY (2) Norwalk Hospital, Norwalk, CT |
PO-GePV-M-200 | Assessment of Clinical Impact On Treatment Planning of the Use of Deep-Learning Model for Organ-At-Risk Autosegmentation for Head and Neck Cancer J Lucido1*, T DeWees2, T Leavitt2, A Anand2, C Beltran3, M Brooke4, J Buroker1, R Foote1, O Foss1, T Hodge1, C Hughes4, A Hunzeker1, N Laack1, T Lenz1, M Morigami4, D Moseley1, Y Patel4, E Tryggestad1, L Undahl1, A Zverovitch4, S Patel2, (1) Mayo Clinic, Rochester, MN, (2) Mayo Clinic, Phoenix, AZ, (3) Mayo Clinic, Jacksonville, FL, (4) Google Health, Mountain View, CA |
PO-GePV-M-202 | A Clinical and Time Savings Evaluation of a Commercial Deep Learning Automatic Contouring Algorithm J Ginn1*, H Gay2, J Hilliard2, J Shah3, N Mistry3, C Mohler3, G Hugo2, Y Hao2, (1) Duke University, Durham, NC, (2) Washington University School of Medicine, St. Louis, MO (3) Siemens Healthineers, Durham, NC |
PO-GePV-M-204 | Integration of Color Diffusion Tensor Tractography Images Into Contouring Workflows with Commercial Software Z Grelewicz*, K Tatebe, Rush University Medical Center, Chicago, IL |
PO-GePV-M-211 | Clinical Equivalency of Alternate Head-And-Neck OAR Delineations MNH Rashad1*, F Badry1, V Leandro Alves1, H Nourzadeh2, W Choi2, J Siebers1, (1) University of Virginia, Charlottesville, VA, (2) Thomas Jefferson University, Philadelphia, PA, |
PO-GePV-M-240 | Deep Learning-Based Synthetic CT Generation for MR-Only Adaptive Radiation Therapy On MR-Linacs B Hunt1, B Zaki2, G Russo3, G Asher4*, G Gill5, C Thomas6, T Prioleau7, D Gladstone8, B Pogue9, R Zhang10, (1) Dartmouth College, Hanover, NH, (2) Dartmouth-hitchcock Medical Center, ,,(3) Dartmouth-hitchcock Medical Center, ,,(4) Dartmouth College, ,,(5) Dartmouth-hitchcock Medical Center, ,,(6) Dartmouth-Hitchcock Medical Center, ,,(7) Dartmouth College, ,,(8) Dartmouth College, Hanover, New Hampshire, (9) University of Wisconsin-Madison, Madison, WI, (10) Dartmouth-Hitchcock Med. Ctr., Lebanon, NH |
PO-GePV-M-241 | A Fast 3D Contour Editing Tool with 3D paintbrush and Edge Detection for MRI-Guided Adaptive Radiation Therapy A Amjad1*, M Moreau2, A Parchur1, E Ahunbay1, D Cooper2, X Li1, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Elekta, Inc, MO |
PO-GePV-M-246 | Feasibility of Stereotactic Radiotherapy for Base of Tongue Cancers On the MR-Linac H Wang1*, (1) UT MD Anderson Cancer Center, Houston, TX |
PO-GePV-M-287 | A Two-Step Method to Improve Image Quality of CBCT with Phantom-Based Supervised and Patient-Based Unsupervised Learning Strategies Y Liu1,2*, X Chen1, J Zhu1, B Yang1, R Wei1, R Xiong2, H Quan2, Y Liu1, J Dai1, K Men1, (1) National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, 100021 ,CN, (2) Wuhan University, Wuhan, 430072 ,CN, |
PO-GePV-M-290 | Optimized Small-Field Model for Linac-Based SRS On Varian TrueBeam with Millennium MLC 120 Yields Improved QA Results L Fanelli1*, C Njeh2, (1) Schwarz Cancer Center at IU Health North, Carmel, IN, (2) Indiana University, Greenwood, IN |
PO-GePV-M-294 | Cross-Comparison of Multi-Platform AI Auto-Segmentation Tools Using Independent Multi- Institutional Datasets for Head and Neck Cancer Y Rong1*, Q Chen2, L Yuan3, X Qi4, K Latifi5, X Yang6, B Cai7, H Al-Hallaq8, Q Wu9, Y Xiao10, S Benedict11, (1) Mayo Clinic Arizona, Phoenix, AZ, (2) City of Hope Medical Center, Duarte, CA, (3) Virginia Commonwealth University Medical Center, Richmond, Virginia, (4) UCLA School of Medicine, Los Angeles, CA, (5) H. Lee Moffitt Cancer Center, Tampa, FL, (6) Emory University School of Medicine, Atlanta, GA, (7) University of Texas Southwestern Medical Center, Clayton, MO, (8) The University of Chicago, Chicago, IL, (9) Duke University Medical Center, Chapel Hill, NC, (10) University of Pennsylvania, Philadelphia, PA, (11) UC Davis Cancer Center, Davis, CA |
PO-GePV-M-298 | Multi-Site Evaluation of the AI-Assisted Auto Segmentation Quality for a CBCT Based Online Adaptive Radiotherapy System B Meng*, M Dohopolski, S Jiang, M Lin, B Cai, University of Texas Southwestern Medical Center, Dallas, TX |
PO-GePV-M-308 | Cardiac Substructure Segmentation Using Self-Configuring NnUNet and NnFormer for Cardiac-Sparing Lung Cancer Radiotherapy S Lee1, D Wang1, J Natarajan2, N Yegya-raman1, T Kegelman1, S Feigenberg1, G Kao1, Y Xiao1*, (1) Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, (2) Drexel University College of Medicine, Philadelphia, PA |
PO-GePV-M-313 | Quantitative Modeling On Tissue-Specific Stem Cell Amounts for Radiation Induced Normal Tissue Complications K Wang*, M Huq, UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, Pittsburgh, PA |
PO-GePV-M-320 | TransCBCT: Improving the Image Quality of Cone-Beam Computed Tomography with Transformer X Chen1*, Y Liu1, B Yang1, J Zhu1, Y Liu1, J Dai1, K Men1, (1) National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, 100021,CN |
PO-GePV-M-323 | Auto-Segmentation for Limited Field of View CBCT in Male Pelvic Region Using Deep Learning Method H Hirashima1*, M Nakamura2, K Imanishi3, M Nakao4, T Mizowaki5, (1) Kyoto University, Graduate School of Medicine, Department of Radiation Oncology and Image-Applied Therapy, Kyoto, JP, (2) Kyoto University, Graduate School of Medicine, Department of Human Health Sciences, Kyoto, JP, (3) e-Growth Co., Ltd., Hyogo, JP, (4) Kyoto University, Graduate School of Informatics, Department of Systems Science, Kyoto, JP,(5) Kyoto University, Graduate School of Medicine, Department of Radiation Oncology and Image-Applied Therapy, Kyoto, JP |
PO-GePV-M-327 | Inpainting Truncated Areas of CT Images Based On Generative Adversarial Networks with Gated Convolution for Radiotherapy X Kai1,2*, X Qianyi2,3, G Liugang1,2, J Sun1,2, C Qian1,2, N Xinye1,2,3, (1) The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University, Changzhou, Jiang Su, CN, (2) Jiangsu Province Engineering Research Center of Medical Physics, Changzhou, Jiangsu, CN,(3) Center for Medical Physics, Nanjing Medical University, Changzhou, Jiangsu, CN |
PO-GePV-M-337 | A 2D/3D Integrated Network for Breast Tumor Classification X Chen1, X Wang1*, J Lv1, Z Zhou2, (1) Xi'an Jiaotong University, Xi'an, 61, CN, (2)University Of Kansas Medical Center,Kansas City, KS. |
PO-GePV-M-346 | Predicting Overall Survival for Patients with Oropharyngeal Cancer Using An Interpretable Machine Learning Algorithm X Pan1*, T Feng2, C Liu3, X Qi4, (1) Xi'an University of Posts and Telecommunications, Xi'an, shaanxi, CN, (2) Xi'an University of Posts and Telecommunications, Xi'an, shaanxi, CN, (3) Xi'an University of Posts and Telecommunications, Xi'an, shaanxi, CN, (4) UCLA School of Medicine, Los Angeles, CA |
PO-GePV-M-347 | A Multi-Objective Radiomic Model for Predicting Survival in Patients with Oropharyngeal Cancer X Pan1*, C Liu2, T Feng3, X Qi4, (1) Xi'an University of Posts and Telecommunications, Xi'an,shaanxi, CN, (2) Xi'an University of Posts and Telecommunications, Xi'an,shaanxi, CN, (3) Xi'an University of Posts and Telecommunications, Xi'an,shaanxi, CN, (4) UCLA School of Medicine, Los Angeles, CA |
PO-GePV-M-348 | Interpretable Feature-Specific Generative Adversarial Network Model for 3D CBCT Image Enhancement for Radiomics Z Qiao1*, Z Zhang2, Z Jiang3, Y Lai4, J Lee5, D Wu6, C Beltran7, L Ren8, M Huang9, (1) University of Florida, Gainesville, FL, (2) Duke University, Durham, NC, (3) Duke University, Durham, NC, (4) University of Texas at Arlington, Arlington, TX, (5) Duke Radiation Oncology, ,,(6) University of Florida, ,,(7) Mayo Clinic, Jacksonville, FL, (8) University of Maryland, Baltimore, MD, (9) Mayo Clinic Florida, Jacksonville, FL |
PO-GePV-M-353 | Real Time Intracellular Oxygen Mapping in Vivo during FLASH-RT Using Delayed Fluorescence of Protoporphyrin IX A Petusseau1, M RahmanP1*, Bruza1, S Vinogradov2*, B Pogue3*, (1) Dartmouth College, Hanover, NH, (2) University of Pennsylvania, Philadelphia, PA, (3) University of Wisconsin-Madison, Madison, WI |
PO-GePV-P-13 | Effect of Inconsistent Virtual Bolus Thickness On Superficial Dose Distribution R Cattell*, J Kim, A Hsia, X Qian, Stony Brook University Hospital, Stony Brook, NY |
PO-GePV-T-2 | A Comprehensive Database On Electron Backscattering From Solids for Energy Ranges 0.1 KeV – 15 MeV F Akbari*, D Shvydka, E Parsai, University of Toledo Medical Center, Toledo, OH |
PO-GePV-T-4 | Simulation of 4DCT Phase-Based Measurement Errors in Tumor Size and Motion L Naumann*, R Savjani, M Lauria, B Stiehl, P Boyle, A Santhanam, D Low, UCLA, Los Angeles, CA |
PO-GePV-T-17 | Administration of 177Lu-PSMA-617 as Compared to 177Lu-Dotatate P Patel1*, K McCall1, (1) Henry Ford Health System, Detroit, MI |
PO-GePV-T-58 | Better Identification of Dose Constraints for Use in HDR in the Treatment of Locally Advanced Cervix Cancer S Choudrie*, R Crilly, J Kahn, Oregon Health & Science Univ, Portland, OR |
PO-GePV-T-63 | Clinical Implementation and Comparison of QA for Electron Therapy T Peng*, H hu, Z Li, Y Zheng, Guangzhou Concord Cancer Center, Guangzhou, GuangdongCN, |
PO-GePV-T-64 | Dosimetric Evaluation of Plastic Scintillation Detector for Skin Collimation in Electron Beam Radiation Therapy K Yang*, S Sharma, A Ju, East Carolina University, Greenville, NC |
PO-GePV-T-66 | Stability of the FLASH Mobetron System A Palmiero*, A Glick, K Liu, N Chopra, D Neill, S Massia, E Schueler, S Beddar, UT MD Anderson Cancer Center, Houston, TX |
PO-GePV-T-67 | Investigating Dose Calculation Algorithms in Electron Radiation Therapy with Tissue Equivalent Material F Mostafaei, T Lavin, D Jacobs, M Rocque, C Huh*, Medical College of Georgia, Department of Radiation Oncology, Augusta University, Augusta, GA, USA |
PO-GePV-T-72 | A Surface-Conforming Flexible Collimator for Improving Electron Radiotherapy H (Parenica) Paschal*, C Kabat, S Stathakis, M Bonnen, N Papanikolaou, N Kirby, UT Health San Antonio, San Antonio, TX |
PO-GePV-T-75 | Monte Carlo Investigation of Planar Electron Mimbeams Created by a Single Halbach Cylinder GA McAuley*, JD Slater, Department of Radiation Medicine, Loma Linda University, Loma Linda, CA |
PO-GePV-T-79 | Comparison of Setup Uncertainty and Efficiency Between Klarity SBRT System and BlueBAG System for Spine SBRT E Quan, S Krafft, M Vaccarelli, T Briere, E Han*, UT MD Anderson Cancer Ctr., Houston, TX |
PO-GePV-T-80 | Evaluation of a Mini 6DoF Plate for End-To-End Test of Surface-Guided Radiation Therapy (SGRT) J Sohn1,2*, M Polizzi1, S Kim1, (1) Virginia Commonwealth University, Richmond, VA, (2) Northwestern University Feinberg School of Medicine, Chicago, IL |
PO-GePV-T-87 | An Education Bot for Radiation Safety in Radiotherapy J Chow1*, L Sanders2, S Siddique3, L Xu4, S Ali3, R Nathanael3, K Li2, (1) Princess Margaret Cancer Centre, Toronto, ON, CA, (2) York University, Toronto, ON, CA, (3) Ryerson University, Toronto, ON, CA, (4) University of Toronto, Toronto, ON, CA |
PO-GePV-T-100 | Time Is Money: An Investigation On the Use of Copper and Aluminum Electron Plates for TG-142 Monthly Energy Checks T Binder1, W Weaver2*, Z Pearson2, (1) University of Kentucky- Alyzen Medical Physics, Jonesboro, AR, (2) Alyzen Medical Physics, Jonesboro, AR |
PO-GePV-T-106 | Development of a Remote Training System for Quality Control of Medical Electronic Linear Accelerators Based On Virtual Reality and Augmented Reality Technology J Chen1*, X Weng2, F Fu1, L Jiang2, F Dong1, F Zheng1, L Guo1, B Xu2,3,4, X Li2,3,4,5 (1) College of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China, (2) Department of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, China, (3) Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors (Fujian Medical University), Fuzhou, China, (4) Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematological and Breast Malignancies), Fuzhou, China, (5) Department of Engineering Physics, Tsinghua University, Beijing, China |
PO-GePV-T-110 | Development and Validation of Treatment-Specific Prediction Models for Critical Weight Loss in Nasopharyngeal Carcinoma Patients – A Multi-Centre Study J SUN1*, S Lam2, X Teng3, J Zhang4, Z Ma5, Y Huang6, H Xiao7, C Liu8, W Li9, X Han10, F Lee11, W Yip12, A Cheung13, H Lee14, K Au15, J Cai16, (1) HKU/POLYU, Tko, ,HK, (2) Duke Kunshan University, Kunshan, ,CN, (3) The Hong Kong Polytechnic University, Hong Kong, Hong Kong, HK, (4) Duke Kunshan University, Nantong, 32, CN, (5) The Hong Kong Polytechnic University, ,,(6) The Hong Kong Polytechnic University, Hung Hom, Kowloon, (7) The Hong Kong Polytechnic University, Hong Kong, 91, CN, (8) The Hong Kong Polytechnic University, Hong Kong, Hong Kong, (9) The Hong Kong Polytechnic University, ,,(10) ,,,(11) Queen Elizabeth Hospital, Hong Kong, ,HK, (12) Queen Elizabeth Hospital, Hong Kong, ,CN, (13) ,,,(14) The University Of Hong Kong, ,,(15) Hong Kong Queen Elizabeth Hospital, ,,(16) Hong Kong Polytechnic University, Hong Kong, ,CN |
PO-GePV-T-115 | NTCP Modeling of Dysphagia 12 Months After Radiotherapy for Oropharyngeal Cancer Using the EAT10, CTCAE and PRO-QoL Scoring Systems A Tzikas1*, E Lavdas2, D Kehayas3, R Amdur4, W Mendenhall5, N Sheets6, S Stathakis7, R Green8, L Marks9, S Das10, B Chera11, P Mavroidis12, (1) University Of West Attica, Department Of Biomedical Sciences, Athens, Greece, (2) University of West Attica, Athens, Greece, (3) University Of West Attica, Athens, Greece, (4) University of Florida Hospitals, Gainesville, FL, (5) University of Florida, Gainesville, FL, (6) Duke University, Raleigh, NC, (7) Mays Cancer Center - MD Anderson Cancer Center, San Antonio, TX, (8) UNC at Chapel Hill, NC, (9) University of North Carolina at Chapel Hill, Chapel Hill, NC, (10) University of North Carolina, Chapel Hill, NC, (11) UNC at Chapel Hill, NC, (12) University of North Carolina, Chapel Hill, NC |
PO-GePV-T-120 | A Radiomics-Based Light Gradient Boosting Machine to Predict Radiation-Induced Toxicities in Nasopharynx Cancer Patients Receiving Chemoradiotherapy Z Jiang1*, Y Liang2, X Wang3, Z Min4, M Feng5, Y Kuang6, (1) University of Nevada, Las Vegas, Las Vegas, NV, (2) Cancer Hospital Chinese Academy of Medical Sciences, Sichuan Center, Chengdu, CN, (3) Radiation Oncology Key Laboratory Of Sichuan Province, Chengdu, CN,(4) Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, CN,(5) Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, CN,(6) University of Nevada, Las Vegas, Las Vegas, NV |
PO-GePV-T-126 | Application of Extracted Proton Energy Spectrum From Measured Integrated Depth Dose to Validating the Linear Energy Transfer Calculation in a Commercial TPS W Yao1*, (1) University of Maryland School of Medicine, Baltimore, MD |
PO-GePV-T-146 | Implementation of the Predictive Models for Autocorrelated Time Series Data Using ARIMA and Artificial Neural Network Algorithms j Lah1*, D Shin2, (1)Myongji Hospital, Hanyang University College of Medicine, Goyang-si,KR, (2) National Cancer Center, Goyang-si,KR |
PO-GePV-T-147 | Compact Radiation Detector for Wireless Thermoacoustic Range Verification Detects Pulse-To-Pulse Variations During Conventional Proton Therapy S Patch1*, Y Hao2, T Zhao2, S Pauly3, (1) Acoustic Range Estimates, Chicago, IL, (2) Washington University School of Medicine, St. Louis, MO, (3) Rapiscan | AS-E, Oak Ridge, TN |
PO-GePV-T-185 | Evaluation and Short-Term Outcomes of Proton SBRT Using Pencil Beam Scanning for Solitary NSCLC C Shang, MB*, G Evans, M Rahman, T Williams, S. Florida Proton Therapy Institute, Delray Beach, FL |
PO-GePV-T-198 | A Novel Workflow Utilizing 3D-Printing to Reduce Errors Associated with Creating Electron Blocks C Mart*, D McDonald, N Anderson, J Peng, Medical University of South Carolina, Charleston, SC |
PO-GePV-T-217 | EPID-Based 3D In-Vivo Dose Verification Using Deep Learning Inference Modelling D Yang*, J Fan, J Wang, W Hu, Fudan University Shanghai Cancer CenterShanghaiCN |
PO-GePV-T-220 | A Transportable Hypoxic Phantom for DNA Irradiation Damage Studies D Johnson*, M Tambasco, San Diego State Univ, San Diego, CA |
PO-GePV-T-229 | Comparison of Sun Nuclear ArcCHECK and IBA MatriXX Resolution for Patient Specific IMRT QA A Boria*, Z Su, P Sabouri, G Narayanasamy, F Kalantari, University of Arkansas for Medical Sci, Little Rock, AR |
PO-GePV-T-230 | Patient-Specific Quality Assurance Multi-Leaf Collimator Error Detection: Comparison of EPID and Array-Based Methods S Roles*, J Winiecki, A Rapchak, G Owen, C Mart, D McDonald, W Godwin, M Maynard, J Peng, Medical University of South Carolina, Charleston, SC |
PO-GePV-T-252 | Reinforcement Learning to Speed Up Conjugate Gradient Optimization in IMRT M Hakala1, S Basiri1, E Kuusela1, K Bush2*, (1) Varian Medical Systems Finland, Helsinki,FI, (2) Stanford University, Stanford, CA |
PO-GePV-T-261 | Hybrid Forward and Inverse Planning Approach For Lattice Radiation Therapy G Shukla*, A Mahadevan, Geisinger, Lewistown, PA |
PO-GePV-T-264 | Implementation of a Static and Dynamic MLC Model in a GPU-Accelerated Monte Carlo Engine E Brost, H Wan Chan Tseung, J Antolak*, Mayo Clinic, Rochester, MN |
PO-GePV-T-271 | Update of the GEANT4-DNA Software for Simulation of Radiation Chemical Yield for Reactive Water Radiolysis Species at Different Temperature and PH J Bian1, J Duran1, W Shin2, J Ramos-Mendez3, L Childress4, J Sankey4, J Seuntjens1,5, S Abbasinejad Enger*1,5,6, (1) Medical Physics Unit, Department of Oncology, Faculty of Medicine, McGill University, Montreal, Quebec, Canada, (2) Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea, (3) Department of Radiation Oncology, University of California San Francisco, California, United States of America, (4) Department of Physics, McGill University, Montreal, Quebec, Canada, (5) Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada, (6) Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada |
PO-GePV-T-278 | Free Breathing Or Breath Hold for Pancreas Treatment Planning? T Lin*, C Ma, Fox Chase Cancer Center, 333 Cottman Ave., Philadelphia, PA 19111, USA |
PO-GePV-T-306 | Quantification of Dose Perturbation Using the DirectDensity Algorithm with Metallic Implants M Schwer1, A Geiersbach2*, J Shah3, A Ritter4, E Klein5, (1) Warren Alpert Medical School at Brown University (2) Warren Alpert Medical School at Brown University, (3) Siemens Healthineers, (4) Siemens Healthineers, (5) Warren Alpert Medical School at Brown University |
PO-GePV-T-315 | Assess the Impact of Expanding the CT Calibration Curve On the Quality of Dose Calculation K Alhamad*, A Alhazmi, F Hadi, Radiation Oncology, Oncology Center, King Saud University Medical City, Riyadh, SA |
PO-GePV-T-338 | Improving Imaging-Based Winston-Lutz Results with Synthetic CT Phantoms M Fan, D Quiring, P Sansourekidou*, Y Natsuaki, University of New Mexico, Albuquerque, NM |
PO-GePV-T-343 | Evaluation of the New Independent Dose Calculation SciMoCa as Patient-Specific Quality Assurance in the CyberKnife Treatment of Brain Metastases and Lung Cancer K Sakai*1, 2, Y Nakajima1, 2, Y Suda2, S Kito2, Y Sato1, 3, K Yasui1, 2, Y Arai1, 2, T Takizawa1, 2, M Sato1, Y Fujita1, (1) Komazawa University, Setagaya-ku, Tokyo, Japan, (2) Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Bunkyo-Ku, Japan, (3) Tokyo Medical and Dental University, Bunkyo-Ku, Tokyo, Japan |
PO-GePV-T-349 | Independent 3D Dose-Volume Verification for Brainlab Elements MultiMet Patients M Naessig*, K Kelly, A Alvarez, T Wagner, E Galvan, N Papanikolaou, S Stathakis, University of Texas HSC SA, San Antonio, TX |
PO-GePV-T-367 | Evaluation of a Novel-Integrated Quality Assurance Phantom for Winston-Lutz Test A Rusnak1*, E Klein1,2, Y Yang1,2, (1) Brown University, Providence, RI (2) Rhode Island Hospital, Providence, RI |
PO-GePV-T-372 | Evaluation of a Submillimeter-Resolution Detector Array for SRS Dosimetry P Sabouri, A Boria, F Kalantari, N Shrestha, G Narayanasamy, M O'neil, Z Su*, University of Arkansas for Medical Sci, Little Rock, AR |
PO-GePV-T-377 | Exploration of a Monte Carlo-Powered 3D Dose Verification of Single-Isocenter Multiple-Target SRS Plans G Cui*, J Duan, F Yin, Duke University Medical Center, Durham, NC |
PO-GePV-T-379 | Assessment of Commercial Patient Specific Quality Assurance (PSQA) Devices for LINAC-Based Stereotactic Radiotherapy Plans S James1,2, E Elder2-3, C Huh1, A Al-Basheer1*, A Maghsoodpour1, J Barrett1, F Mostafaei1, (1) Augusta University, (2) Georgia Institute of Technology, (3) Emory University |
PO-GePV-T-382 | Comparison of IMRT Quality Assurance for SRS Plans Using MapCheck2 in High-Density Mode Versus MyQA SRS C Thropp1*, L Buchanan2, Y Yang2, G Cardarelli2, (1) Brown University, Providence, RI, (2) Rhode Island Hospital / Warren Alpert Medical, Providence, RI |
PO-GePV-T-385 | Comparison of SRS QA Tools for Single and Multiple Target SRS Plans C Teng*, E Sudentas, L Fu, M Chao, Y Lo, Mount Sinai Health System, New York, NY |
PO-GePV-T-387 | Evaluation of 4Pi Arc Positioning for Cranial VMAT SRS in Elements B Loughery*, C Knill, R Sandhu, L Lin, Z Seymour, Beaumont Hospital, Dearborn, MI |
PO-GePV-T-388 | Knowledge Based Planning (KBP) as a Clinical Solution for Stereotactic Radiosurgery Cases (SRS) for Multiple Brain Metastases K Guida, F Wang, G Gan, J Patel, O Trejo*, H Li, H Jiang, University of Kansas Cancer Center, Kansas City, KS |
PO-GePV-T-394 | Analysis of Dose Drop Off Distance From Planning Target Volume Edge to 50% for Small Volume Tumors with Different Techniques Aswathi Raj1,2*, D Khanna1, HRIDYA V T 1,2, Mohandass P3, Sathish P2, (1) Karunya Institute of Technology and Sciences, Coimbatore, TN, IN, (2) Aster MIMS,Calicut ,Kerala,IN (3) Fortis Hospital, Mohali, PB, IN. |
PO-GePV-T-395 | Phantom Evaluation of Dose Calculation Accuracy Comparing BrainLab and Eclipse Treatment Planning Systems (TPS) for Brain Stereotactic Radiosurgery (SRS) with Simulation and Film Dosimetry J Yoon*, H Jung, M Milano, K Usuki, S Hardy, D Zheng, University of Rochester, Rochester, NY |
PO-GePV-T-396 | Dosimetric Evaluation of Two Modern Planning Techniques for Single-Isocenter, Multiple Brain Metastases Fractionated-Stereotactic Radiosurgery with >20 Lesions H Jung*, J Yoon, M Milano, K Usuki, S Hardy, D Zheng, University of Rochester, Rochester, NY |
PO-GePV-T-406 | Clinical Implementation of BrainLAB’s Element Planning System for Intracranial SRS Treatments of Arteriovenous Malformations N Shrestha, G Narayanasamy, P Sabouri, F Kalantari, F Xia, Z Su, R Panthi*, University of Arkansas for Medical Sci, Little Rock, AR |
PO-GePV-T-409 | Single-Isocenter Multi-Target SRS VMAT Treatment Planning Strategy: When Targets Compete for Limited MLC Beam Apertures J Duan*, G Cui, N Walls, I Wang, F Yin, Duke University Medical Center, Durham, NC |
PO-GePV-T-411 | A Comparative Dosimetric Study of Spine SABR Using Two MLC Delivery Systems with Pencil Beam and Monte Carlo Algorithms J Rahimian1, J Zhang2*, J Vinci3, (1)Kaiser Permanente, Los Angeles, CA, (2) Kaiser Permanente Anaheim Medical Center, CA,(3) Kaiser Permanente, Los Angeles, CA |
PO-GePV-T-413 | Calculated Target Dose Differences for Brain Stereotactic Radiosurgery (SRS) Between Two Advanced Dose Algorithms D Zheng*, H Jung, M Milano, K Usuki, S Hardy, S Tanny, J Yoon, University of Rochester, Rochester, NY |
PO-GePV-T-416 | Validation and Implementation of a Dedicated Spine Stereotactic Radiosurgery Treatment Planning System C Knill*, R Sandhu, B Loughery, L Lin, Z Seymour, P Chinnaiyan, T Quinn, M Almahariq, R Deraniyagala, Beaumont Health, Royal Oak, MI |
PO-GePV-T-418 | Evaluation of Two Treatment Planning Systems for Single Isocenter Multiple Metastases Stereotactic Radiosurgery Treatment Planning and Delivery W Johansson, D Opp, C Tichacek, B Libby*, G Zhang, G Redler, L Nardella, S Wasserman, D Oliver, T Robinson, H-H Yu, J Graham, H Lee Moffitt Cancer Center & Research Institute, Tampa, FL |
PO-GePV-T-423 | Dosimetric Comparison Between Brainlab Elements Planning system 1.5 and 3.0 with Jaw Tracking and Collimator Optimization for Intracranial SRS Treatments N Shrestha1, G Narayanasamy2, M Bimali3, P Sabouri4, F Kalantari5, Z Su6, R Panthi7*, (1) Univeristy of Arkansas for Medical Sciences, Little Rock, AR, (2) University of Arkansas for Medical Sciences, Little Rock, AA, (3) UAMS, Little Rock, AR, (4) University of Arkansas for Medical Sciences, Little Rock, Ar, AR, (5) University of Arkansas for Medical Sci, Little Rock, AR, (6) University of Arkansas for Medical Sciences, Little Rock, Arkansas, (7) Rush University Medical Center, Chicago, IL |
PO-GePV-T-425 | Development of An Elekta VersaHD MLC-Based Trigeminal Neuralgia Program N Miksys*, C Curley, R Tokarz, Ackerman Cancer Center, Jacksonville, Florida |
PO-GePV-T-426 | Adaptive Workflow for Prostate, Seminal Vesicle, and Nodal Volume SBRT On a CBCT Adaptive AI Driven System E Laugeman*, A Price, L Henke, B Baumann, Washington University School of Medicine in St. Louis, St. Louis, MO |
PO-GePV-T-427 | Institutional Review On Evaluating 6-Degree of Freedom Treatment Couches for Disease-Specific SBRT K Lyons, D Spratt, V Colussi, R Kashani*, C Langmack, Seidman Cancer Center /UH Cleveland & CWRU, OH, Cleveland, OH |
PO-GePV-T-429 | Volume Staging for Arteriovenous Malformation SRS Treatment Using Volumetric Modulated Arc Therapy C Mendez*, E Gete, BC Cancer-Vancouver, Vancouver, BCCA, CA |
PO-GePV-T-430 | Dosimetric Accuracy of 6DoF Robotics for SRS Motion Management D Holloman, A Sakaamini*, X Liu, S Yoon, T Li, R Wiersma, University of Pennsylvania, Philadelphia, PA |
PO-GePV-T-439 | Applying Optical Reporters of Radiation Damage to Ex Vivo Tissue Models W Thomas1*, J Sunnerberg2, M Reed1, B Pogue1,2, (1) University of Wisconsin-Madison, Madison, WI, (2) Dartmouth College, Hanover, NH |
PO-GePV-T-444 | Evaluation of Normal Tissue Response to Pulsed Low-Dose-Rate Radiotherapy (PLDR) T Dos Santos*, D Cvetkovic, D Yang, L Chen, C Ma, Fox Chase Cancer Center, Philadelphia, PA |
SU-E-201-1 | A Practical and Robust Method for Beam-Blocker Based Cone Beam CT Scatter Correction H Cui, X Jiang, Y Yang*, University of Science and Technology of China, Hefei, China |
SU-E-201-2 | Cone-Beam CT From Complete Data Using Saddle Trajectories On a Mobile Robotic CBCT Scanner J Albrecht1,2*, S Rit3, P Steininger4, F Ginzinger4, P Huber4, I Messner4, M Kraihamer4, H Schmitz1, S Corradini1, C Belka1,5, C Kurz1, M Riboldi2, G Landry1, (1) Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany, DE, (2) Department of Medical Physics, Ludwig-Maximilians-Universitaet Muenchen (LMU Munich), Garching (Munich), Germany, DE, (3) Univ Lyon, INSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69373, LYON, France, FR, (4) Research & Development, medPhoton GmbH, Salzburg, Austria, AT, (5) German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany, DE |
SU-E-201-3 | Characterizing Lung Tumor Rigidity Via Ventilation-Induced Tumor Deformation: Implications On the Prognosis of Lung Squamous Cell Carcinoma Y Lao1*, W Yang2, D Moghanaki1, K Sheng1, (1) University of California-Los Angeles, Los Angeles, CA, (2) University of Southern California, Los Angeles, CA |
SU-E-201-4 | Deep-Learning-Based Auto Segmentation (DLAS) of Organs at Risk in the Head and Neck Region: A Clinical Evaluation C Johnson*, P Tsai, G Yu, C Apinorasethkul, L Hu, W Xiong, A Zhai, R Press, H Lin, S Huang, New York Proton Center, New York, NY |
SU-E-201-7 | Physics-Informed Machine Learning for Estimating Pulmonary Perfusion From Non-Contract 4DCT Y Liu1*, A Nowacki1, R Castillo2, Y Vinogradskiy3, G Nair4, C Stevens4, E Castillo1, (1) University of Texas at Austin, Austin, TX, (2) Emory University, Atlanta, GA, (3) Thomas Jefferson University, Philadelphia, PA, (4) William Beaumont Hospital, Royal Oak, MI |
SU-E-201-8 | Scatter Correction in Known-Component Model-Based Cone-Beam CT Reconstruction in the Presence of Metal Hardware A Lopez Montes1*, W Zbijewski2, J Siewerdsen3, J Stayman4, S Liu5, (1) Johns Hopkins University, Baltimore, MD, (2) Johns Hopkins University, Baltimore, MD, (3) Johns Hopkins University, Baltimore, MD, (4) Johns Hopkins University, Baltimore, MD, (5) Johns Hopkins University, Baltimore, MD |
SU-E-202-3 | CT Metallic Artifacts Affect Clinical, SPECT Image-Based, Iodine-131 Radiopharmaceutical Therapy Dosimetry D Adam*, T Bradshaw, P Hill, J Grudzinski, S Cho, A Burr, P Harari, B Bednarz, University of Wisconsin, Madison, WI |
SU-E-207-1 | Noise2noise Deep Learning Based Acceleration for MRI Echo-Planar Imaging L Qin1*, C Lindsay2, A Konik1, G Young3, (1) Dana-Farber Cancer Institute, Boston, MA, (2) University Of Massachusetts Chan Medical School, Worcester, MA (3) Brigham And Women's Hospital, Boston, MA |
SU-E-207-6 | A Method to Extract the Cardiac Cycle Signal Directly for 2D Cine MR and CBCT Projection Images X Wu1*, H Yao1, G Hugo1, C Eldeniz1, H An1, H Gach1, D Yang2, (1) Washington University in Saint Louis, St. Louis, MO, (2) Duke University, Chapel Hill, NC |
SU-E-BRB-6 | Developing Clinical Pipeline to Translate Deep Learning Based Auto-Segmentation Models for Radiotherapy Planning M Lin*, T Bai, B Wang, D Nguyen, Y Gonzalez, J Wu, Y Yan, X Jia, A Godley, S Jiang, W Lu, The University of Texas Southwestern Medical Ctr, Dallas, TX |
SU-E-BRB-7 | Pilot Implementation of AI GTVs for SRS to Brain Metastases D Hsu*, M Aristophanous, L Cervino, Y Hu, A Apte, A Iyer, K Beal, B Imber, A Ballangrud, Memorial Sloan Kettering Cancer Center, New York, NY |
SU-E-BRB-8 | Task-Specific Fine-Tuning for Interactive Deep Learning Segmentation for Lung Fibrosis On CT Post Radiotherapy MJ Trimpl1,2,3*, P Salome4,5,6,7, D Walz4,5,6,7, J Hoerner-rieber6,7, S Regnery6,7, EPJ Stride1, KA Vallis3, J Debus6,7, A Abdollahi4,5,6,7, MJ Gooding2, M Knoll4,5,6,7, (1) Institute of Biomedical Engineering, Department of Engineering Science, Oxford, GB, (2) Mirada Medical, Oxford, GB, (3) Oxford Institute for Radiation Oncology, Oxford, GB, (4) CCU Translational Radiation Oncology, German Cancer Consortium (DKTK) Core-Center Heidelberg, Heidelberg University Hospital (UKHD) and German Cancer Research Center (DKFZ), Heidelberg, DE, (5)Division of Molecular and Translational Radiation Oncology, Heidelberg Faculty of Medicine (MFHD), Heidelberg University Hospital (UKHD), Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg, DE, (6) Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, DE, (7) National Center for Radiation Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), Heidelberg, DE |
SU-E-BRC-3 | FMEA of FLASH On a Clinical LINAC Shows Setup and Beam Gating as Largest Risks M Rahman1*, R Zhang1,2,3, D Gladstone1,2,3, B Williams1,2,3, E Chen4, L Thompson3, P Bruza1, B Pogue1,3,5,6, (1) Thayer School of Engineering, Dartmouth College, Hanover, NH, (2) Department of Medicine, Radiation Oncology, Geisel School of Medicine, Dartmouth College Hanover NH, (3) Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, (4) Cheshire Medical Center, Keene NH Department of Surgery, (5) Geisel School of Medicine, Dartmouth College, Hanover NH, (6) University of Wisconsin-Madison, Madison, WI |
SU-E-BRC-6 | Systematic Evaluation of Ion Recombination Effects of Clinically Available Ion Chambers in FLASH Pencil Beam Scanning Proton Beam E Lee1*, J Speth2, Y Zhang3, Z Xiao4, A Mascia5, (1) Cincinnati Children's/UC Health, Liberty Campus, OH, (2) ,,,(3) University of Cincinnati Medical Center, Liberty Township,, OH, (4) University of Cincinanti Medical Center Proton Therapy Center, ,,(5) University of Cincinnati Medical Center, Cincinnati, OH |
SU-E-BRC-7 | Utilization of Toroids for Output and Energy Monitoring of Pulsed Electron FLASH Beams K Liu*, A Glick, A Palmiero, N Chopra, S Beddar, E Schueler, UT MD Anderson Cancer Center, Houston, TX |
SU-F-201-1 | A Weakly-Supervised Approach for Automatic Selection of Uniform Regions in Clinical CT Images W Cao*, P Korfiatis, T Kline, M Callstrom, A Missert, Mayo Clinic, Rochester, MN |
SU-F-201-2 | Improving Cone-Beam CT Auto-Segmentation Accuracy Using Cycle GANs for Domain Adaptation K Shah1*, J Shackleford1, N Kandasamy1, G Sharp2, (1) Drexel University, Philadelphia, PA, (2)Massachusetts General Hospital, Boston, MA |
SU-F-201-3 | Leveraging the Elliptical Shape of the Uterocervix On Semi-Axial Cross-Sections for Improved Deep-Learning Segmentation On Cone-Beam CT S Mason1*, L Wang2, K Zormpas-Petridis2, M Blackledge2, S Lalondrelle1, H Mcnair1, E Harris2, (1) Royal Marsden NHS Foundation Trust, Sutton, SRY, GB, (2) Institute Of Cancer Research |
SU-F-201-7 | Discriminability of Non-Gaussian Noise Properties in CT and the Limitation of the Noise Power Spectrum to Describe Noise Texture K Boedeker1*, D Shin2, L Oostveen3, I Sechopoulos4, C Abbey5, (1) Canon Medical Systems Corporation, Otawara, Japan (2) (1) Canon Medical Systems Corporation, Otawara, Japan (3) Radboud University Nijmegen Medical Centre, Nijmegen, ,NL, (4) Radboud University Medical Centre, Nijmegen, ,(5) University of California - Santa Barbara, Santa Barbara, CA |
SU-F-201-8 | Quantitative Dual-Energy CT with Limited-Angular-Range Data for Pulmonary Scans B Chen, Z Zhang, D Xia, E Sidky, X Pan*, University of Chicago, Chicago, IL |
SU-F-202-5 | Use of Automation in Image Quality Analysis in PET T Moretti*, S Leon, C Schaeffer, M Arreola, University of Florida, Gainesville, FL |
SU-F-202-6 | Comparison of Physiologic FDG PET Uptake in CT-Based Vs PET-Corrected Organ Contours in Non-Small Cell Lung Cancer Patients O Lokre*, A Weisman, T Perk, AIQ Solutions, Madison, WI |
SU-F-206-7 | Patient-Specific Adjuvant Chemotherapy Decision Making Using Radiomics for Locally-Advanced NPC: A Multicenter Retrospective Study X Teng1*, J Zhang1, Z Ma1, X Han1, S Lam1, H Xiao1, C Liu1, W Li1, Y Huang1, F Lee2, W Yip3, A Cheung1, H Lee4, J Cai1, (1) The Hong Kong Polytechnic University, Hong Kong (2) Queen Elizabeth Hospital, Hong Kong (3) Hong Kong Sanatorium and Hospital (4) The University Of Hong Kong |
SU-F-206-8 | Quantifying the Impact of Deformable Dose Accumulation Using Voxel-Level Dose-Response Analysis for Non-Small Cell Lung Cancer Y He*, G Cazoulat, C Wu, L Almodovar-Abreu, E Mccollum, B Rigaud, P Balter, J Pollard-Larkin, D Rhee, L Court, Z Liao, R Mohan, K Brock, The University of Texas MD Anderson Cancer Center, Houston, TX |
SU-F-207-4 | Accelerated MRI Reconstruction Using Variational Feedback U-NET with Transfer Learning Y Zhou1*, R Paul2, P Ding2, R Battle1, A Patel1, B Li2, (1) Mayo Clinic Arizona, Phoenix, AZ, (2) CIDAS, Arizona State University, Tempe, Az, United States |
SU-F-BRA-2 | Development and Inter-Institutional Validation of An Automatic Vertebral-Body Misalignment Error Detector for Cone-Beam CT Guided Radiotherapy D Luximon1*, T Ritter2, E Fields2, J Neylon1, R Petragallo1, Y Abdulkadir1, J Charters1, D Low1, J Lamb1, (1) University of California, Los Angeles, Los Angeles, CA, (2) VCU Health System, Chesterfield, VA |
SU-F-BRB-2 | Automated Pipeline for Prostate Auto-Contouring and VMAT Planning M El Basha1,2*, Q Nguyen2, D Fuentes1,2, J Pollard-Larkin1,2, F Poenisch2, Z Yu1,2, S Frank2, C Cardenas3, C Nguyen2, A Olanrewaju2, C Tang2, S Shah2, A Aggarwal4, L Court1,2, (1) University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, (2) MD Anderson Cancer Center, Houston, TX, (3) The University of Alabama at Birmingham, Birmingham, AL, (4) Guy's and St. Thomas' NHS Foundation Trust, London, UK |
SU-F-BRB-6 | Is Public Data Enough? A Comparison of Public and Institutional Deep Learning Models for Segmentation of 17 Organs-At-Risk in the Head and Neck Brett Clark1,2, Nicholas Hardcastle2,3,4, Price Jackson2,4, Leigh Johnston1, James C Korte1,2, (1) Department of Biomedical Engineering, University of Melbourne, Melbourne, Australia (2) Department of Physical Science, Peter MacCallum Cancer Centre, Melbourne, Australia (3) Centre for Medical Radiation Physics, University of Wollongong, Wollongong, Australia (4) Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne |
SU-F-BRB-8 | Synthesizing Continuous 4D Respiratory Motion Using a Conditional Registration Network Y Sang*, D Ruan, University of California, Los Angeles, CA |
SU-F-BRC-6 | Patient-Specific Synthetic MRI Generation From CBCT for Image Guidance in Liver SBRT Z Zhang1*, Z Jiang2, K Lu3, F Yin4, L Ren5, (1) Duke University, Durham, NC, (2) Duke University, Durham, NC, (3) Duke University, Chapel Hill, NC, (4) Duke University Medical Center, Chapel Hill, NC, (5) University of Maryland, Baltimore, MD |
SU-F-BRC-8 | Development and Validation of a Novel Multi-Modal (MRI and KVCT) Method to Determine Proton Stopping Power Ratio R Marants1*, J Scholey2, E Kaza1, X Miao3, T Benkert4, A Sudhyadhom1, (1) Brigham and Women's Hospital | Dana-Farber Cancer Institute | Harvard Medical School, Boston, MA, (2) University of California San Francisco, San Francisco, CA, (3) Siemens Medical Solutions USA Inc., Malvern, PA, (4) Siemens Healthcare GmbH, Erlangen, Germany |
SU-H300-IePD-F5-1 | A Deep Learning Approach to Correct Scatter in Dual-Energy CBCT Data: Accuracy and Potential for Adaptive Proton Therapy A Lalonde*, B Winey, H Paganetti, G Sharp, Department of Radiation Oncology Massachusetts General Hospital and Harvard Medical School, Boston, MA |
SU-H300-IePD-F5-2 | Assessment of CBCT-Based Adaptive Intensity Modulated Proton Therapy (IMPT) Using Automated Planning for Head and Neck Cancer Y Xu*, N Dogan, K Padgett, M De Ornelas, University of Miami, Miami, FL |
SU-H300-IePD-F5-3 | Deep Learning Based 4D Synthetic CTs Generated From CBCTs for Proton Dose Calculations in Adaptive Proton Therapy A Thummerer1*, C Seller Oria1, S Visser1, P Zaffino2, A Meijers3, R Wijsman1, G Guterres Marmitt1, J Seco4,5, J Langendijk1, A Knopf1,6, M Spadea2, S Both1, (1) Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen,NL, (2) Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro,IT, (3) Center for Proton Therapy, Paul Scherrer Institute, Villigen, CH, (4) DKFZ Heidelberg, Heidelberg, DE, (5) Department of Physics and Astronomy, Heidelberg University, Heidelberg, DE (6) Department I of Internal Medicine, Center for Integrated Oncology Cologne, University Hospital of Cologne, Cologne, DE |
SU-H300-IePD-F5-5 | Variation of Bragg Peak Positions in Cone-Beam CT as An Indicator of Adaptive Planning of the Head and Neck IMPT Treatments B Zhang*, W Yao, N Biswal, J Zhou, J Xu, H Xu, S Chen, B Yi, University of Maryland School of Medicine, Columbia, MD |
SU-H300-IePD-F5-6 | Proton Range Shift Verification by Using Gamma Electron Vertex Imaging (GEVI) System in Spot Scanning Proton Therapy S. H. Kim1, Y. Ku2, J. Jung2, C. H. Kim2, J. H. Jeong1*, (1) Center for Proton Therapy, National Cancer Center, Goyang-si, Gyeonggi-do, KR, (2) Department of Nuclear Engineering, Hanyang University, Seoul, KR |
SU-H300-IePD-F6-1 | Dosimetric Evaluation of a CBCT-Based Daily Adaptive Radiotherapy Protocol for Locally Advanced Cervical Cancer D Branco*, J Mayadev, K Moore, X Ray, UC San Diego, La Jolla, CA |
SU-H300-IePD-F7-5 | A Deep Convolutional Neural Network Based Dose Engine for Seed Implant Brachytherapy T Xiong1, L Geng1, F Zhou2,3, B Liu2,3*, Q Wu4, (1) School of Physics, Beihang University, Beijing, CN (2) Image Processing Center, Beihang University, Beijing, CN (3) Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, CN (4) Duke University Medical Center, Durham, NC |
SU-H300-IePD-F8-2 | Introduction of Lambda: A Convenient and Robust Subvoxel Image Similarity Metric P Boyle*, M Lauria, B Stiehl, L Naumann, A Santhanam, D Low, UCLA, Los Angeles, CA |
SU-H300-IePD-F8-3 | Application of Lambda: Subvoxel Image Similarity in Complex Images P Boyle*, M Lauria, B Stiehl, L Naumann, A Santhanam, D Low, UCLA, Los Angeles, CA |
SU-H300-IePD-F8-4 | A Novel Model for Characterizing the Effects of Gantry Flex On 2D Antiscatter Grid Performance in CBCT Systems M Eldib*, F Bayat, M Miften, C Altunbas, University of Colorado School of Medicine, Aurora, CO |
SU-H300-IePD-F8-5 | Influence of Threshold Calibration On CT Image Quality of a Photon-Counting Detector P Rodesch*, D Richtsmeier, L Zalavari, M Bazalova-Carter, University of Victoria, Victoria, BCCA, |
SU-H300-IePD-F9-1 | Nonlinear Conditional Time-Varying Granger Causality of Task FMRI Data Via Deep Stacking Networks K Chuang1,2*, S Ramakrishnapillai2, L Bazzano3, O Carmichael4, (1) Louisiana State University, Baton Rouge, LA, (2) Pennington Biomedical Research Center, Baton Rouge, LA, (3) Tulane School Of Public Health And Tropical Medicine, New Orleans, LA |
SU-H330-IePD-F4-6 | Radiation Planning for Pencil Beam Scanning Proton Therapy Using Single Energy and Dual Energy Computed Tomography Simulation Methods S Mossahebi1, P Sabouri2, A Koroulakis1, K Lehman1, D Cusatis1, J Shah3, P Wohlfahrt3, J Molitoris1*, (1) University of Maryland Medical School, Baltimore, MD, (2) University of Arkansas for Medical Sciences, Little Rock, AR, (3) Siemens Healthineers |
SU-H330-IePD-F5-2 | Deep Learning Projection Interpolation for Sparsely Sampled Real Patient CBCT Reconstruction K Lu1*, Z Zhang1, L Ren2, F Yin1,3, (1) Duke University, Durham, NC, (2) University of Maryland, Baltimore, MD, (3) Duke University Medical Center, Durham, NC |
SU-H330-IePD-F5-3 | A Deep Learning Method to Improve the Quality for High-Speed Imaging in a 1.5 T MRI Radiotherapy System J Zhu*, X Chen, B Yang, R Wei, S Qin, Z Yang, Z Hu, J Dai, K Men, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, 11CN, |
SU-H330-IePD-F5-6 | Deep Learning-Based Metal Artifact Reduction for Planning CT in Radiation Therapy for Head and Neck Cancer J Lee1, J Lee2, S Jung3*, (1) Department of Nuclear Engineering, Ulsan National Institute of Science and Technology, Ulsan, Ulsan, KR, (2) Department of Computer Engineering, Ulsan National Institute of Science and Technology, KR, (3) Department of Radiation Oncology, Seoul National University Hospital, Seoul, KR |
SU-H330-IePD-F8-1 | Generating a Phantom with a Motion Model Ground Truth B Lau*, O Dillon, T Reynolds, R O'Brien, University of Sydney, Sydney, NSW, AU, |
SU-H330-IePD-F8-4 | Characterization of Functional Lung Tissue M Rodriguez1,2, A Wright1,2, WT Watkins1*, (1) City of Hope Medical Center, Duarte, CA (2) University of California Riverside, Riverside, CA |
SU-H330-IePD-F9-2 | Levenshtein Distance-Based Feature Representation for Structure Name Standardization in Radiotherapy Y Hu*, L Santanam, Memorial Sloan Kettering Cancer Center, New York, NY |
SU-H330-IePD-F9-3 | A Framework for Reproducible and Scalable Radiomics Pipelines for Radiation Oncology Using Self-Contained Containers and Workflow Manager W Choi1*, H Nourzadeh1, S Lee2, Y Chen1, N Ghassemi1, Y Vinogradskiy1, A Dicker1, (1) Thomas Jefferson University Hospital, Philadelphia, PA, (2) Marshall University, Huntington, WV |
SU-H330-IePD-F9-4 | A Combined Radiomic and Clinical Model for the Differential Diagnosis of Pneumonitis in Patients with NSCLC (Non-Small Cell Lung Cancer) Patients Receiving Immunotherapy (IO Therapy) A Traverso1*, F Tohidinezhad1, D Bontempi1, A Dekker1, L Hendriks2, D De Ruysscher1, (1) MAASTRO Clinic, Maastricht, NL (2) Maastricht University Medical Centre, Maastricht, NL |
SU-H400-IePD-F4-1 | Assessment of the Suitability of 3D PRESAGE Phantom for Relative Dose Measurements in a FLASH Electron Beam C Elliston1*, M Rahman2, Y Wang1, A Sloop2, J Sunnerberg2, R Zhang2, J Adamovics3, C Wuu1, (1) Columbia University Medical Center, New York, NY, (2) Dartmouth College, Hanover, NH, (3) HEURIS, INC., Skillman, NJ |
SU-H400-IePD-F4-2 | Improving Conformality and Homogeneity with Intensity Modulated Electron FLASH Radiotherapy M Rahman1, K Erhart2, D Gladstone3, P Bruza4, C Thomas5, L Jarvis6, J Hoopes7, B Pogue8, R Zhang9*, (1) Dartmouth College, Hanover, NH, (2) .decimal LLC, Sanford, FL, (3) Dartmouth College, Hanover, New Hampshire, (4) Dartmouth College, Hanover, NH, (5) Dartmouth-Hitchcock Medical Center, ,,(6) Dartmouth-Hitchcock Med. Ctr., Lebanon, NH, (7) Dartmouth College, Hanover, NH, (8) University of Wisconsin-Madison, Madison, WI, (9) Dartmouth-Hitchcock Med. Ctr., Lebanon, NH |
SU-H400-IePD-F5-1 | A Graph Attention Network Combining Both Radiomics and Clinical Data for Improved and Interpretable Prediction of Lymph Node Invasion in High-Grade Prostate Cancers M Larose*1, 2, 3, N Touma3, N Raymond4, D Leblanc1, 2, 3, F Rasekh3, B Neveu3, H Hovington3, M Vallières4, F Pouliot3, L Archambault1, 2, 3, (1) Department of physics, Université Laval, Qc, Canada (2) Centre de recherche sur le cancer, Qc, Canada (3) CHU de Québec, QC, Canada (4) Department of computer science, Université de Sherbrooke, QC, Canada |
SU-H400-IePD-F5-3 | A Comparative Study of Radiomics and Deep-Learning Approaches for Predicting Surgery Outcomes in Early-Stage Non-Small Cell Lung Cancer (NSCLC) H Zhang1, Z Yang2, B Ackerson2, Z Hu1, M Khazaieli2, C Kelsey2, F Yin2, C Wang2*, (1) Duke Kunshan University, Kunshan, Jiangsu, China, (2) Duke University, Durham, NC |
SU-H400-IePD-F8-4 | On-Line Adaptive and Real-Time Intrafraction Motion Management of Spine-SBRT On An MR-Linac J Cunningham*, K Snyder, J Kim, S Siddiqui, P Parikh, I Chetty, J Dolan, Henry Ford Cancer Institute, Detroit, MI |
SU-H400-IePD-F8-6 | Improving Structural Similarity Based Indication for MR-Guided Online Adaptation Replanning Abdul K. Parchur*, Haidy Nasief, Sara Lim, Eenas Omari, Ying Zhang, X. Allen Li, Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, 53226 USA |
SU-H430-IePD-F4-2 | Commissioning of a Standing and Recumbent Total Skin Electron Therapy (TSET) for a Varian TrueBeam STx and a TrueBeam Linear Accelerator: A Single-Institutional Experience A Rodrigues*, E Cullom, Y Xie, Y Sheng, J Kowalski, Q Wu, Duke University Medical Center, Durham, NC |
SU-H430-IePD-F4-4 | A Novel Multi-Headed Scintillation Detector for Fast and Efficient Dose Measurements at Multiple Locations Simultaneously B Lessard1,2*, Y Lechasseur3, S Lambert-girard3, F Therriault-Proulx3, L Beaulieu1,2, L Archambault1,2, (1) Departement de physique, genie physique et optique, and Centre de recherche sur le cancer, Universite Laval, Quebec, CA (2) CHU de Quebec - Universite Laval and CRCHU de Quebec, Quebec, CA (3) Medscint inc., Quebec, CA |
SU-H430-IePD-F4-5 | Feasibility of Performing Volumetric Calorimeter Measurements Using a 3D-Printed Vessel M D'Souza1*, A Sarfehnia1,2, (1) Ryerson University, Toronto, Ontario, Canada, (2) Sunnybrook Health Sciences Center, Toronto, Ontario, Canada, |
SU-H430-IePD-F5-3 | A Sensitivity Analysis On the Relationship Between Dose and Overlap Metrics for Head & Neck Normal Tissues B Marquez1,2*, C Owens1,2, K Huang1,2, M El Basha1,2, R Mumme2, C Nguyen2, C Peterson1,2, D Fuentes1,2, T Whitaker1,2, T Netherton1,2, L Court1,2,(1) University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, (2) MD Anderson Cancer Center, Houston, TX |
SU-H430-IePD-F5-4 | Developing a Head-And-Neck CBCT Segmentation Network From Unlabeled Data Via Domain Adaptation and Self-Training T Mengke, X Liang, H Morgan, H Shao, S Jiang, Y Zhang*, UT Southwestern Medical Center, Dallas, TX |
SU-H430-IePD-F6-1 | Deep Fusion of CT Imaging and Blood Markers to Estimate Portal Venous Hypertension: Novel Optimization of Data Fusion Quality Y Wang*, X Li, M Konanur, B Konkel, E Seyferth, N Brajer, J Liu, M Bashir, K Lafata, Duke University, Durham, NC |
SU-H430-IePD-F6-2 | Need for PET/CT Harmonization in Multi-Center Immunotherapy Radiomics Studies K Strasek1*, R Jeraj1,2, M Namias3, D Valentinuzzi1, (1) University of Ljubljana, Faculty for Mathematics and Physics, Ljubljana,SI, (2) University of Wisconsin, Madison, WI, (3) Fundacion Centro Diagnostico Nuclear, Buenos Aires, B, AR |
SU-H430-IePD-F7-2 | NTCP Modeling of Xerostomia 12 Months After Radiotherapy for Oropharyngeal Cancer Using the PRO-CTCAE Scoring System A Tzikas1*, E Lavdas2, D Kehayas3, R Amdur4, W Mendenhall5, N Sheets6, S Stathakis7, R Green8, L Marks9, S Das10, B Chera11, P Mavroidis12, (1) University Of West Attica, Department Of Biomedical Sciences, Athens, Greece, (2) University of West Attica, Athens, Greece, (3) University Of West Attica, Athens, Greece, (4) University of Florida Hospitals, Gainesville, FL, (5) University of Florida, Gainesville, FL, (6) Duke University, Raleigh, NC, (7) Mays Cancer Center - MD Anderson Cancer Center, San Antonio, TX, (8) UNC at Chapel Hill, NC, (9) University of North Carolina at Chapel Hill, Chapel Hill, NC, (10) University of North Carolina, Chapel Hill, NC, (11) UNC at Chapel Hill, NC, (12) University of North Carolina, Chapel Hill, NC |
SU-H430-IePD-F7-6 | Investigating the Ability of Patient-Specific QA Devices to Detect Changes in Dose Distribution Due to MLC Positioning Errors in Stereotactic Radiotherapy Plans S James1,2, E Elder2-3, C Huh1, A Al-Basheer1*, J Barrett1, F Mostafaei1, (1) Augusta University, (2) Georgia Institute of Technology, (3) Emory University |
SU-I400-BReP-F1-4 | CT Beam Width Measurement Using a CTDI Pencil Chamber M Fadhel, K Grizzard, D Vergara, R Perez Franco, M Hoerner*, Yale University, New Haven, CT |
SU-I400-BReP-F2-3 | Patient-Specific Image Prior Assisted Fast MR Imaging for Online Adaptive Radiotherapy Y Gao*, C Shen, Y Gonzalez, J Deng, X Jia, University of Texas Southwestern Medical Center, Dallas, TX |
SU-I400-BReP-F2-4 | CBCT Forecasting - A Convolution-LSTM Based Machine Learning Framework for Predicting “ahead-Of-Time” Patient Anatomy, Dose to Be Delivered, and Dose Trend in Head and Neck Radiotherapy A Santhanam1*, B Stiehl1, M Lauria1, R Savjani1, S Gros2,D Low1, (1) University of California, Los Angeles, Los Angeles, CA, (2) Loyola University Chicago, Chicago IL |
SU-I400-BReP-F3-1 | Quantitative Prospective Evaluation of Automated Contouring for HDR Gynecologic Brachytherapy Z Iqbal*, S Marcrom, R Cardan, A Kraus, K Lee, A Mcclain, R Popple, C Cardenas, University of Alabama - Birmingham, Birmingham, AL |
SU-I400-BReP-F3-5 | Gamma Imaging Using Hybrid Coded-Aperture and Compton Scatter Imaging B Montz1*, J Hayward1, C Ramsey1,2, (1) University Of Tennessee, Knoxville,(2) Thompson Cancer Survival Center, Knoxville, TN |
SU-J-201-1 | A Quantitative Assessment of Image Distortion During Fluoroscopically-Guided Orthopedic Surgery X Nie*, A Siddique, P Hardy, J Zhang, University of Kentucky, Lexington, KY |
SU-J-201-2 | Application of a Psychophysical Staircase Method for Determining Detection Thresholds in Fluoroscopic Imaging D Olivera Velarde, E Marshall, J Cruz Bastida, N Baughan, J Cruz Bastida, C Guo*, K Feinstein, I Reiser, University of Chicago, Chicago, IL |
SU-J-202-2 | Accurate HU Generation for MR-LINAC Using MV-CBCT Y Hu1,2, C Williams1,2, R Berbeco1,2, M Myronakis*, (1) Brigham & Women's Hospital, Harvard Medical School, Jamaica Plain, MA, (2) Dana Farber Cancer Institute, Boston, MA |
SU-J-202-3 | A Raw Data Correction and Iterative Reconstruction Pipeline for Quantitative CBCT-Guided Radiation Therapy F Bayat*, M Eldib, M Miften, C Altunbas, University of Colorado School of Medicine, Aurora, CO |
SU-J-202-6 | Machine-Learning Modeling of Patient-Reported Swallowing Dysfunction Using Dose to the Epiglottis and Pharyngeal Constrictors MD Pepin*, S Anaya, RL Foote, YI Garces, H Emily, DW Mundy, MA Neben-wittich, DM Routman, S Catherine, SC Lester, DJ Ma, S Shiraishi, Mayo Clinic Rochester, Rochester, MN |
SU-J-207-3 | Boundary-Constrained Neural Network for Mouse Organ Segmentation L Jiang*, Q Xu, A Chatziioannou, K Sheng, University of California Los Angeles, Los Angeles, CA |
SU-J-BRA-0 | The Need for Robust Dosimetry of Flash Beams M McEwen1*, A Subiel2*, A Mascia3*, (1) National Research Council, Ottawa, ON, CA, (2) National Physical Laboratory, Teddington, GB, (3) University of Cincinnati Medical Center, Cincinnati, OH |
SU-J-BRC-2 | An Automated Pipeline for AI-Based Analysis of CBCT-Guided Patient Alignment J Neylon1*, D Luximon1, T Ritter2, J Lamb1, (1) UCLA, Los Angeles, CA, (2) VCU Health System, Chesterfield, VA |
SU-K-201-3 | Determining the Contribution of CT to Total Skin Dose for Procedures in a Hybrid CT/Angiography Suite M Glassell*, B Schwarz, L Rill, M Arreola, University of Florida, Gainesville, FL |
SU-K-201-4 | Size Specific Alert Thresholds for Individualized Patient Dose Monitoring in CT B Hurley*, C Smitherman, T Petrone, Petrone Associates, LLC, New York, NY |
SU-K-201-7 | The UF-MSK Computational Phantom Library for Medical Dosimetry: Adult Males and Females R Dawson1*, J Baggett1, Y Wang1, W Smither1, L Dinwiddie1, S Wehmeier1, S Domal1, C Kofler2, L Carter3, J Ocampo Ramos3, P Zanzonico3, A Kesner3, W Bolch1, (1) University of Florida, Gainesville, FL, (2) University of Chicago, Chicago, IL, (3) Memorial Sloan Kettering Cancer Center, New York, NY |
SU-K-202-4 | Monte Carlo Model of a Prototype Dual-Layer Flat Panel Detector for Multi-Energy KV-CBCT I Ozoemelam1*, M Myronakis1, T Harris, P Huber2, M Jacobson1, R Fueglistaller2, M Lehmann2, D Morf2, R Berbeco1, (1) Dana Farber/Brigham and Women's Hospital, Boston, MA, (2) Varian Imaging Laboratory, Baden, Switzerland |
SU-K-202-8 | Validation of a Forward Model for Thick Scintillator Imaging and Spectral Extraction with a Light Field Camera B Preusser1*, J Slagowski2, P La Riviere1, R Wiersma3, (1) University of Chicago, Chicago, IL, (2) University of Wisconsin - Madison, Madison, WI, (3) University of Pennsylvania, Philadelphia, PA |
SU-K-207-6 | Image Registration of An EMT-Enabled Afterloader and CT Scan: A Phantom Study I.N Gomez-Sarmiento1*, D Tho1, W de Jager3, D Laurendeau2, L Beaulieu1, (1) CHU de Quebec - Universite Laval, Quebec, QC, CA, (2) Electrical and Computer Engineering, Faculty of Science and Engineering, Universite Laval, Quebec, QC, CA, (3) Elekta Brachytherapy, Veenendaal, The Netherlands |
SU-K-BRC-3 | Validation of CBCT-Based Machine-Learning Automated Planning for Adaptive Prostate Radiation Therapy A Khalifa1,2*, M Golshan1,3, I Navarro1,3, V Malkov3, C McIntosh1,2,3,4,5, T Purdie1,2,3, T Tadic1,3, J Winter1,3, (1) University of Toronto, Toronto, ON, CA, (2) Techna Institute, Toronto, ON, CA, (3) Princess Margaret Cancer Centre, Toronto, ON, CA, (4) Peter Munk Cardiac Center, Toronto, ON, CA, (5) Vector Institute, Toronto, ON, CA |
SU-K-BRC-4 | Towards Online Intra-Fraction Treatment Adaptation: Real-Time Dose Estimation of MLC Tracked MR-Guided Radiotherapy E Persson*, E Goodwin, B Eiben, A Wetscherek, S Nill, U Oelfke, Joint Department of Physics, The Royal Marsden Hospital and The Institute of Cancer Research, Sutton, UK |
TH-A-202-5 | Measurement of the Time Structure of FLASH Irradiation Using Prompt Gamma Rays and Secondary Neutrons as Surrogates S Charyyev1, R Liu2, X Yang3, J Zhou4, W S Dynan5, C Oancea6, L Lin7*, (1) Emory University, Atlanta, GA, (2) Emory University, Atlanta, GA, (3) Emory University, Atlanta, GA, (4) Emory University, Atlanta, GA, (5) Emory University, Atlanta, GA, (6) ADVACAM, Praha, Czech Republic, (7) Emory Proton Therapy Center, Atlanta, GA |
TH-A-207-2 | Development of a Photon-Counting Based Multi-Energy Small Animal CBCT to Improve Radiation Dose Calculation Accuracy in Preclinical Radiation Research X Hu1*, Y Zhong1, K Yang2, X Jia1, (1) University of Texas Southwestern Medical Center, Dallas, TX, (2) Harvard Medical School, Massachusetts General Hospital, Boston, MA |
TH-A-207-6 | BEST IN PHYSICS (IMAGING): Diffusion-Relaxation Correlation Spectroscopic Imaging (DR-CSI) in In-Vivo Body: Feasibility Study On Liver and Prostate D Kim1, J Chen1*, J Xiao1, BP Lee1, K King1, JP Haldar1, NA Terrault1, Z Fan1, (1) University of Southern California, Los Angeles, CA |
TH-B-202-1 | Effect of PET Image Discretization On Radiomic Features of Patients Undergoing Definitive Radiotherapy for Oropharyngeal Cancer B Riley*, C Wang, Z Yang, Y Mowery, D Brizel, F Yin, K Lafata, Duke University Medical Center, Durham, NC |
TH-B-202-2 | Novel SPECT/CT Phantom with Active and Passive Dosimeters for Targeted Radionuclide Therapy Dosimetry A Bertinetti1*, M Rodrigues2, T Garcia2, B Palmer1, C Hammer1, H Vija2, W Culberson1, (1) University of Wisconsin Medical Radiation Research Center, Madison, WI, (2) Siemens Healthineers |
TH-B-202-5 | PET Quantification in 50% Counts DDG-PET/CT: Noise, Motion Correction, And Misregistration Effects A Thomas1*, J Meier2, O Mawlawi1, P Sun1, T Pan1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) University of Wisconsin Medical Radiation Research Center, Madison, WI |
TH-B-206-4 | Segmentation by Test-Time Optimization for CBCT-Based Adaptive Radiation Therapy X Liang*, T Bai, J Chun, H Morgan, D Nguyen, J Park, S Jiang, University of Texas Southwestern Medical Center, Dallas, TX |
TH-B-207-3 | Phase-Resolved Lung Ventilation Imaging Method Based On Four-Dimensional Computed Tomography Y Huang*, G Ren, H Xiao, Y Li, Z Chen, X Teng, Z Ma, J Cai, The Hong Kong Polytechnic University, Hong Kong |
TH-B-207-6 | Segmentation of High-Resolution Blood Vasculature Trees in CT D Yang1*, Y Hao2, Y Duan3, (1) Duke University, Chapel Hill, NC, (2) Washington University School of Medicine, St. Louis, MO, (3) University Of Missouri, |
TH-B-BRA-6 | Temporally Stable UHDR LINAC Is Favorable for Clinical Translation of FLASH RT M Rahman1, A Sloop2, J Sunnerberg3, D Gladstone4, C Dexter5, L Thompson6, P Bruza7, B Pogue8, R Zhang9*, (1) Dartmouth College, Hanover, NH, (2) Oregon Health and Science University, Lebanon, NH, (3) Dartmouth College, Lebanon, NH, (4) Dartmouth College, Hanover, New Hampshire, (5) Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, (6) Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, (7) Dartmouth College, Hanover, NH, (8) University of Wisconsin-Madison, Madison, WI, (9) Dartmouth-Hitchcock Med. Ctr., Lebanon, NH |
TH-C-201-2 | Catheter Tracking Using Gated Continuous-Sweep Limited Angle (CLA) Fluoroscopy M Wagner*, S Periyasamy, P Laeseke, A Raval, M Speidel, University of Wisconsin - Madison, Madison, WI |
TH-C-201-3 | Evaluating X-Ray Source Arrays for Tomography and Tomosynthesis in Lung Cancer Radiotherapy O Dillon*, R O'Brien, University of Sydney, Sydney, NSW, AU, |
TH-C-201-4 | BEST IN PHYSICS (IMAGING): Implementation of 1000 Fps CdTe Photon-Counting Detectors (PCD’s) for Simultaneous Biplane High-Speed Angiography (HSA) E Vanderbilt*, X Wu, A Shields, S Setlur Nagesh, D Bednarek, S Rudin, University at Buffalo (SUNY) School of Medicine, Buffalo, NY |
TH-C-202-5 | Voxel-Based Estimation of Microstructure Characteristics of Head and Neck Cancers Using Time-Dependent MR Diffusion Weighted Imaging and a Random Walk with Barriers Model S Nejad-Davarani1*, M Mierzwa1, T Feiweier2, K Casper1, Y Cao1, (1) University of Michigan, Ann Arbor, MI, (2) Siemens Healthcare GmbH, Erlangen, Germany |
TH-D-201-1 | Comprehensive Size- and Kernel-Dependent Comparison of Image Quality Between Photon-Counting and Energy Integrating CT M Bhattarai1*, S Bache2, E Abadi1 E Samei1,2, (1) Duke University, Durham, NC, (2) Duke University Health System, Durham, NC |
TH-D-201-3 | Evaluation of Geometric Accuracy and Iodine Quantification of High-Pitch Multi-Energy Cardiac Imaging with Dual-Source Photon-Counting Detector CT Z Ahmed*, D Campeau, H Gong, K Rajendran, P Rajiah, C McCollough, S Leng, Mayo Clinic, Rochester, MN |
TH-D-201-4 | Photon Count Rates Measured From 1,980 Clinical CT Scans T Szczykutowicz1*, R Bujila2, Z Yin2, S Slavic2, J Maltz2, (1) University Wisconsin-Madison, Madison, WI, (2) GE Healthcare, Waukesha, WI |
TH-D-201-5 | Incorporating a Photon Counting CT System Into Routine Clinical Use S Bache*, J Solomon, E Samei, Duke University, Durham, NC |
TH-D-201-6 | Quality Control of Photon-Counting Detector CT: Tips and Caveats Z Ahmed*, L Ren, T Vrieze, K Rajendran, A Ferrero, C Favazza, L Yu, M Bruesewitz, C McCollough, S Leng, Mayo Clinic, Rochester, MN |
TH-D-207-5 | Hybrid Adversarial Network for Ultra-Quality Pulmonary Anatomy Imaging From Cone-Beam CT Images J Zhu1, W Chen2, Y Huang1*,A Nicol3, Y Lam4, J Cai5, G Ren6, (1) Hong Kong Polytechnic University, Hong Kong (2) Chinese Academy of Sciences, Shenzhen Advanced Technology Academe, Shenzhen,CN(3) The Hong Kong Polytechnic University, Hong Kong(4) Hong Kong Polytechnic University, Hong Kong(5) Hong Kong Polytechnic University, Hong Kong (6) Hong Kong Polytechnic University, Hong Kong |
TH-D-207-6 | Texture Transformer Super-Resolution (TTSR) for Patient CT Images S Zhou1*, L Yu2, M Jin1, (1) University of Texas at Arlington, Arlington, TX, (2) Mayo Clinic, Rochester, MN |
TH-D-BRC-5 | Normal Tissue Complication Modeling for Radiation-Induced Lymphopenia After Abdominal Radiotherapy S Kim1*, H Byun2, W Sung1, ((1) Department of Biomedical Engineering and Biomedicine & Health Science, College of Medicine, The Catholic University of Korea, Seoul, KR (2) Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, KR |
TH-E-201-1 | A Simulation Platform to Evaluate the Effect of 2D Antiscatter Grid Primary Transmission On CBCT Image Quality M Eldib*, F Bayat, M Miften, C Altunbas, University of Colorado School of Medicine, Aurora, CO |
TH-E-201-2 | Continuous Dual-Isocenter Imaging: Simultaneously Extending the Longitudinal and Lateral Intraoperative 3D CBCT Field-Of-View for Assessing Musculoskeletal Trauma T Reynolds1*, S Hatamikia2,3, O Dillon2, Y Ma4, A Kanawati5, J Stayman4, R O'Brien1, (1) University of Sydney, Sydney, AU, (2) Austrian Center for Medical Innovation and Technology, Wiener Neustadt, AUT, (3) Danube Private University, 3500 Krems an der Donau, AUT, (4) Johns Hopkins University, Balitmore, MD, (5) Westmead Hospital, Sydney, AU |
TH-E-201-3 | BEST IN PHYSICS (IMAGING): Deep Learning-Based Motion Compensation for 4D-CBCT Reconstruction Z Zhang1*, J Liu2, D Yang3, U Kamilov2, G Hugo1, (1) Washington University School of Medicine in St. Louis, St. Louis, MO, (2) Washington University in St. Louis, St. Louis, MO, (3) Duke University, Chapel Hill, NC |
TH-E-201-5 | Perovskite Direct Conversion Detector Design Optimisation and Characterisation for Truebeam KV-, MV-CBCT and Koning Breast-CT J O'Connell*, M Bazalova-Carter, University of Victoria, Victoria, BC,Canada |
TH-E-201-6 | Sensitivity Analysis of Acquisition Precision in Fast Low-Dose 4DCBCT B Lau1*, O Dillon2, S Vinod3, R O'Brien2, T Reynolds2, (1) University Of Sydney, Sydney, NSW, AU, (2) University Of New South Wales, Sydney, NSW, AU |
TH-E-BRC-3 | Longitudinal Unsupervised Deformable Image Registration Network for Adaptive Radiotherapy D Lee*, Y Hu, S Alam, J Jiang, L Cervino, P Zhang, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY |
TH-F-201-1 | A Generalizable, Vendor-Neutral Framework for Kidney Stone Composition Characterization Using Dual-Energy CT P Shunhavanich1*, S Hsieh2, A Ferrero2, C McCollough2, (1) Faculty of Medicine, Chulalongkorn University, Bangkok, TH, (2) Mayo Clinic, Rochester, MN |
TH-F-201-2 | A Novel Methodology for Assessing Material Differentiation in Dual-Energy Computed Tomography C Schaeffer*, S Leon, M Arreola, University of Florida, Gainesville, FL |
TH-F-201-3 | CT-Guided and Sparsity-Constrained Multi-Material Decomposition for Dual Energy CBCT Q Wang1*, H Xie1, T Wang1, J Roper1, X Tang2, J Bradley1, T Liu1, X Yang1, (1) Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, (2) Department of Radiology and Imaging Sciences and Winship Cancer Institute, Emory University, Atlanta, GA |
TH-F-BRC-1 | A Geometry-Guided Multi-Beamlet Deep Learning Technique for CT Reconstruction K Lu1*, L Ren2, F Yin1,3, (1) Duke University, Durham, NC, (2) University of Maryland, Baltimore, MD, (3) Duke University Medical Center, Durham, NC |
TH-F-BRC-2 | Feasibility of CycleGAN Enhanced Low Dose CBCT Imaging for Prostate Radiotherapy Dose Calculation Y Chan1*, M Li1, K Parodi2, C Belka1,3, G Landry1, C Kurz1, (1) Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany, (2) Department of Medical Physics, Ludwig-Maximilians-Universitaet Muenchen (LMU Munich), Garching (Munich), Germany, (3) German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany |
TU-B-202-2 | Frameless HyperArc VMAT for Hippocampal Sparing WBRT with SIB Dose to Multiple Brain Metastases C Boyle*, W St Clair, D Pokhrel, University of Kentucky, Lexington, KY |
TU-B-202-3 | Multi-Institutional Study to Demonstrate An Increase in Variability of Delivered Dose to Patients for SRS Treatments as a Result of Dosimetric Leaf Gap Parameter Tuning A Santoso1, O Blasi2, R Popple3, S Holmes4, K Woods2, Y Vinogradskiy5, A Qureshi6, C Antonakakis7, J Jones6, D Thomas1, L Olsen7*, (1) University of Colorado Anschutz Medical Campus, Aurora, CO, (2) Colorado Associates in Medical Physics, Colorado Springs, CO, (3) University of Alabama Birmingham, Birmingham, AL, (4) Standard Imaging, Inc., Middleton, WI, (5) Thomas Jefferson University, Philadelphia, PA, (6) Poudre Valley Hospital - UCHealth, Fort Collins, CO, (7) Memorial Hospital - UCHealth, Colorado Springs, CO |
TU-B-202-4 | Off-Axis Dosimetric Leaf Gap Measurement and Optimization for Single Isocenter Multi Target Stereotactic Radiosurgery I Rusu1,2*, A Podgorsak1,2, J Roeske1,2, H Kang1,2, A Sethi1,2, (1) Department of Radiation Oncology, Stritch School of Medicine, Cardinal Bernadin Cancer Center, Loyola University Chicago, 2160 S. 1st Ave, Maywood, IL, (2) Loyola University Medical Center, 2160 S. 1st Ave, Maywood, IL |
TU-D1000-IePD-F2-2 | Introducing An Isotoxic Paradigm for Delivery of Ultra-High Doses to Oligometastatic Disease Using Ethos Online Adaptive Radiotherapy G Redler1*, H Musunuru2, R Katipally3, C Lynch3, N Nasser1,4, A Olson2, G Gan5, J Luke2, S Chmura3, (1) H. Lee Moffitt Cancer Center, (2) University of Pittsburgh Medical Center, (3) University Of Chicago Medical Center, (4) University of South Florida, (5) University Of Kansas Cancer Center |
TU-D1000-IePD-F2-5 | Adaptive Radiotherapy Via Deep Learning-Based Quantitative Cone-Beam CT Imaging L Wan1*, H Wu2, S Xu3, B Sun4, W Zhao5, (1) Beihang University, Beijing, BJ, CN (2) Beijing Cancer Hospital, Beijing, BJ, CN, (3) National Cancer Center/Cancer Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, BJ, CN, (4) Beihang University,Beijing, BJ, CN(5) Beihang University, Beijing, BJ, CN |
TU-D1000-IePD-F3-2 | Long-Term SRS Isocenter Coincidence Stability Assessed with a Hidden Target Phantom and a Custom Winston-Lutz Analysis Software B Winey*, M Bussiere, Massachusetts General Hospital and Harvard Medical School, Boston, MA |
TU-D1000-IePD-F3-5 | Dosimetric Comparison of Linac-Based SRS and Gamma Knife Plans for Arteriovenous Malformations B Garcia1*, E Calugaru2, B Chitti2, B Delacruz1, A Goenka2, J Chang2, (1) Hofstra University, Hempstead, NY, (2) Northwell Health, Lake Success, NY |
TU-D1000-IePD-F4-3 | A 3D Dosimetric Data-Driven Multipath Network for Outcome Prediction in Early-Stage Non-Small Cell Lung Cancer Patients Treated with Stereotactic Body Radiotherapy T Arsenault1*, A Amini1, B George2, S Bhat2, L Bailey2, P Vempati4, B Young4, C Towe1, P Linden1, Y Sun2, N Zaorsky1, D Spratt4, R Muzic3, T Biswas4, T Podder4, (1) University Hospitals Cleveland Medical Center, Cleveland, OH, (2) Case Western Reserve University, School Of Medicine, (3) Case Western Reserve University, Department of Biomedical Engineering, (4) Seidman Cancer Center /Uh Cleveland & CWRU, OH, Cleveland, OH, |
TU-D1000-IePD-F4-5 | Automated Treatment Planning Framework for Single-Isocenter Multi-Target (SIMT) Cranial SRS Treatments J Teruel1, J Xue1, N Bice1, P Galavis1*, M Malin1, A Rea1, A Mccarthy1, T Daniels1, D Barbee1, (1) NYU Langone Health, New York, NY |
TU-D1000-IePD-F7-5 | Salvage Spine Stereotactic Re-Irradiation Treatment Planning and Daily Plan Adaptation Using MR-Linac E Han*, D Yeboa, T Briere, J Yang, P Castillo, M Pham, H Wang, MD Anderson Cancer Center, Houston, TX |
TU-D1000-IePD-F8-1 | Practical, Robust CTDI100 Equivalent Measure Using a Thimble Ion Chamber and a Photodiode B Maloney*, P Patel, D Bakalyar, Henry Ford Health System, Detroit, MI |
TU-D1000-IePD-F8-3 | Dose-Reduced Kidney Stone CT Protocol Optimized with Size-Specific Dose Estimate S Deng1,2*, A Kulkarni1,2, N Harris1,2, L Zimmermann1,2, R Al Helo1,2, D Jordan1,2,3, (1) Dept of Radiology, University Hospital Cleveland Medical Center, Cleveland, OH, (2) Radiation Safety, University Hospitals Cleveland Medical Center, Cleveland, OH, (3) Dept. of Radiology, Case Western Reserve University, Cleveland, Ohio |
TU-D1000-IePD-F8-5 | The UF-MSK Computational Phantom Library for Medical Dosimetry: Pediatric Males and Females J Baggett1*, R Dawson1, Y Wang1, W Smither1, L Dinwiddie1, S Wehmeier1, S Domal1, C Kofler2, L Carter3, J Ocampo Ramos3, P Zanzonico3, A Kesner3, W Bolch1, (1) University of Florida, Gainesville, FL, (2) University of Chicago, Chicago, IL, (3) Memorial Sloan Kettering Cancer Center, New York, NY |
TU-D1030-IePD-F1-5 | A Simplified and Accurate Off-Axis Winston-Lutz Method for Single-Isocenter Multiple-Target Stereotactic Radiosurgery A Eagle1*, M Tallhamer2, J Keener3, S Geneser4, (1) Centura Health, Longmont, CO, (2) Centura Health, Parker, CO, (3) Centura Health, Littleton, CO, (4) University of Washington, Seattle, WA |
TU-D1030-IePD-F2-1 | An Initial Longitudinal Performance Analysis for a Deep Learning-Based Medical Image Segmentation Model B Wang1,2*, M Dohopolski1, T Bai1, M Lin1, J Wu1, D Nguyen1, S Jiang1, (1) UT Southwestern Medical Center, Dallas, TX, (2) Southern Methodist University, Dallas, TX |
TU-D1030-IePD-F2-3 | Segmentation of the Left Anterior Descending Coronary Artery Using Curvature-Guided Deep Learning for Lung Cancer Patients Treated with Radiotherapy Y Yue*, A Curtis, S Ng, K Huang, T Lautenschlaeger, Indiana University- School of Medicine, Indianapolis, IN |
TU-D1030-IePD-F3-2 | Dosimetric Evaluation of Leaded Vinyl for Shielding and Skin Collimation in Electron Radiotherapy X Liu*, M Chan, J Park, D Wang, Memorial Sloan Kettering Cancer Center, NY |
TU-D1030-IePD-F3-4 | Reporting the In-Field Thermal Neutron Yield of Elekta Versa HD Linear Accelerator Using Foil Activation Technique for Different Irradiation Conditions V Raveendran*, R Ph, Advanced Center for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Center, Navi Mumbai, MHIN, |
TU-D1030-IePD-F5-4 | An AI-Based Stereotactic Radiosurgery Management Web Platform for Brain Metastases Z Yang1*, M Chen1, H Jiang2, Z Wardak1, S Stojadinovic1, R Timmerman1, T Dan1, W Lu1, X Gu1,3, (1) UT Southwestern Medical Center, Dallas, TX, (2) NeuralRad LLC., Madison, WI, (3) Stanford University, Palo Alto, CA |
TU-D1030-IePD-F6-1 | Image-Guided Margin Assessment to LINAC-Based Radiosurgery for Single and Multiple Brain Metastases Based On Post-Treatment CBCT Shifts T Reynolds*, M Ozer, Minnesota Oncology, Maplewood, MN |
TU-D930-IePD-F2-3 | Accurate Correction of Abdominopelvic CBCT with Internal Air Pockets Using a Hybrid Method of Deep Learning and Deformable Registration for Online Verification of Proton Range J Uh*, C Wang, C Hua, St. Jude Children's Research Hospital, Memphis, TN |
TU-D930-IePD-F2-5 | Deep Learning-Based Prognosis Prediction of Diffuse Large B-Cell Lymphoma in PET Images C Qian1;3*, C Jiang2, X Kai1, D Cao3, J Sun1, G Liugang1, N Xinye1, (1) The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, CN, (2) Nanjing Drum Tower Hospital, Nanjing, Jiangsu, CN, (3) Changzhou Institute of Technology, Changzhou, Jiangsu, CN |
TU-D930-IePD-F4-1 | Robust, Applicator-Free and Bolus-Free Mixed Electron-Photon Beam Radiation Therapy for Soft Tissue Sarcoma V Heng1, 2*, M Serban2, C Freeman2, M Renaud3, J Seuntjens1,2,4, (1) McGill University, Montreal, QC, Canada (2) Mcgill University Health Centre, Montreal, QC, Canada (3) Gray Oncology Solutions, Montreal, QC, Canada (4) Princess Margaret Cancer Centre, Toronto, ON, Canada |
TU-E-201-2 | Deep-Unfolding-Network-Based Non-Blind Deblurring for Fast-Rotating Wide-Angle Digital Breast Tomosynthesis S Hyun*, S Lee, H Kim, S Cho, Korea Advanced Institute of Science and Technology, Daejeon, 44KR, |
TU-E-201-4 | Lesion Detectability in Contrast-Enhanced Breast CT Using Model Observers S Lyu1*, A Hernandez2, C Abbey3, J Boone4, (1) University of California Davis, Davis, CA, (2) University of California Davis Medical Center, Sacramento, CA, (3) University of California Santa Barbara, Santa Barbara, CA, (4) University of California Davis Medical Center, Sacramento, CA |
TU-F115-IePD-F2-2 | Synthetic CT Generation From Truncated MRI Using a Modified CycleGAN Model X Chen*, Y Zhao, L Court, H Wang, T Pan, J Phan, X Wang, J Yang, UT MD Anderson Cancer Center, Houston, TX |
TU-F115-IePD-F4-1 | Silicon Devices for Monitoring Electron FLASH Beams O Villarreal1,2*, A Vignati1,2, M Abujami1,2, D Bersani1,2, E Data1,2, C Galeone1,3, S Giordanengo2, F Mas Milian1,2,4, E Medina1,2, D Montalvan Olivares1,2, V Monti1,2, R Cirio1,2, R Sacchi1,2, (1) Universita' Degli Studi Di Torino, Physics dept, Italy, IT, (2) INFN National Institute for Nuclear Physics, Torino, Italy, IT,(3) GSI Helmholtz Center for Heavy Ion Research, Biophysics dept, Darmstadt, Germany, D (4) Universidade Estadual de Santa Cruz, Ilheus, Brazil, BR. |
TU-F115-IePD-F4-5 | Novel Detector Array for Radiotherapy Beam Monitoring: Resistive Electrode Array (REA) P Zygmanski1*, J Lima2, A Liles3, V Zhang4, I Gineitaite3, E Sajo3, D Brivio1, (1) Brigham & Women's Hospital, Boston, MA, (2) Hofstra, Mineola, NY, (3) University of Massachusetts Lowell, Lowell, MA, (4) Harvard University, Cambridge, MA |
TU-F115-IePD-F6-4 | Dosimetric Evaluation of Stereotactic Prostate Reirradiation Using Cyberknife as An Alternative to HDR Brachytherapy for Locally Recurrent Prostate Cancer X Zhang, S Jang*, S Lee, S Keohan, AE Hirsch, Boston Medical Center, Boston, MA |
TU-F115-IePD-F8-2 | Direct Dose Measurements Comparing Single-Energy and Dual-Energy Head CT Scan N Correa*, M Glassell, C Schaeffer, I Barreto, M Arreola, University of Florida, Gainesville, FL |
TU-F115-IePD-F8-6 | Model-Based Pulse Pileup and Charge Sharing Compensation for Photon Counting Detectors K Taguchi1*, C Polster2, W P Segars3, N Aygun1, K Stierstorfer2, D Lee4*,(1) Johns Hopkins University, Baltimore, MD, (2) Siemens, Forchheim, Germany, (3) Duke Univ, Durham, NC, (4) John's Hopkins University, Baltimore, MD |
TU-GH-BRB-1 | Opportunistic CT AI Screening for Low Bone Mineral Density S Fahrenholtz*, I Banerjee, A Tariq, B Patel, W Sensakovic, Mayo Clinic Arizona, Phoenix, AZ |
TU-GH-BRB-3 | Augmented Colorectal Cancer Detection Using Self-Attention-Incorporated Deep Learning X Jia1, S Sang1, Y Zhou2, H Ren1, M Laurie1, M Islam1, O Eminaga1, J Liao1, L Xing1*, (1) Stanford University School of Medicine, Stanford, CA, (2) University of California Santa Cruz, Santa Cruz, CA |
TU-GH-BRB-5 | Automated Robotic Targeting System for In-Vivo Histotripsy Treatment M Wagner*, S Periyasamy, A Kutlu, J Swietlik, T Ziemlewicz, M Speidel, F Lee, P Laeseke, University of Wisconsin - Madison, Madison, WI |
TU-GH-BRB-8 | Improved MV-CBCT Using a Novel Multilayer Imager T Harris1*, M Jacobson1, M Myronakis1, M Lehmann2, P Huber2, D Morf2, I Ozoemelam1, R Berbeco1, (1) Dana Farber/Brigham and Women's Hospital, Boston, MA, (2) Varian Imaging Laboratory, Baden, Switzerland |
TU-GH-BRB-10 | Intelligent Automatic Treatment Planning for Prostate Cancer Stereotactic Body Radiation Therapy Y Gao*, C Shen, Y Gonzalez, X Jia, Y Park, University of Texas Southwestern Medical Center, Dallas, TX |
TU-GH-BRC-0 | Brain Mets Management: Registries and Automation for Longitudinal Assessment K Bernstein1*, W Shi2*, D Schlesinger3*, H Lin4*, X Gu5*, T Li6*, (1) NYU Langone Medical Center, New York, NY, (2) Thomas Jefferson University, Philadelphia, PA, (3) University of Virginia Health Systems, Charlottesville, VA, (4) University of California San Francisco, San Francisco, CA, (5) Stanford University, Dallas, TX, (6) University of Pennsylvania, Philadelphia, PA |
TU-I345-IePD-F4-4 | Commissioning and Validation of a Monte Carlo Algorithm for Spine Stereotactic Radiosurgery C Knill*, R Sandhu, B Loughery, L Lin, R Halford, D Drake, M Snyder, Beaumont Health, Royal Oak, MI |
TU-I345-IePD-F7-1 | Dosimetric Characterization of a New Surface-Conforming Electron MLC H (Parenica) Paschal*, C Kabat, T Martin, S Stathakis, M Bonnen, N Papanikolaou, N Kirby, UT Health San Antonio, San Antonio, TX |
TU-I345-IePD-F7-2 | Development of a Treatment Technique for Photon MLC Based Electron Modulated Arc Therapy G Guyer1*, S Velja1, S Mueller1, D Frei1, W Volken1, M F M Stampanoni2, P Manser1, M K Fix1, (1) Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital and University of Bern, Bern, CH, (2) Institute for Biomedical Engineering, Swiss Federal Institute of Technology and Paul Scherrer Institute, Zurich, CH |
TU-J430-BReP-F1-3 | Raman-Encoded Molecular Imaging and Lipidomics as Predictors of Pancreatic Cancer Microenvironment Changes During Treatment with 3-Bromopyruvate E Sheikh1*, K Agrawal2, S Roy3, M Gartia4, H Shukla5, N Biswal6, (1) Department Of Mechanical & Industrial Engineering, Louisiana State University, Baton Rouge, LA,(2) Department Of Mechanical & Industrial Engineering, Louisiana State University, Baton Rouge, LA,(3) University Of Maryland School Of Medicine, Baltimore, MD,(4) Department Of Mechanical And Industrial Engineering, Louisiana State University, Baton Rouge, LA,(5) University Of Maryland School Of Medicine, Baltimore, MD,(6) University of Maryland, School of Medicine, Baltimore, MD |
TU-J430-BReP-F1-5 | Virtual Non Contrast Tomography Synthesis for Hepatocellular Carcinoma Patients Using Multimodality-Guided Synergistic Neural Network J Chen1, W Li2, H Xiao3*, S Lam4, J Chen5, C Liu6, A Cheung7, J Cai8, (1)The Hong Kong Polytechnic University,Hung Hom, ,HK, (2) The Hong Kong Polytechnic University, ,,(3) The Hong Kong Polytechnic University, Hong Kong, 91, CN, (4) Duke Kunshan University, Kunshan, ,CN, (5) ,,,(6) The Hong Kong Polytechnic University, Hong Kong, Hong Kong, (7) ,,,(8) Hong Kong Polytechnic University, Hong Kong, ,CN |
TU-J430-BReP-F2-2 | Daily Adaptive Replanning with Dose Accumulation for Prostate Ultra-Hypofractionated Radiotherapy Using Machine Learning Automated Planning On CBCT M Golshan1,2*, A Khalifa2,3, J Winter1,2,3, J Xie1, C McIntosh1,2,3,4,5, T Purdie1,2,3, V Malkov1,3, T Tadic1,2,3, (1) Princess Margaret Cancer Centre, Toronto, ON, CA, (2) University of Toronto, Toronto, ON, CA,(3) Techna Institute, Toronto, ON, CA,(4) Peter Munk Cardiac Center, Toronto, ON, CA, (5) Vector Institute, Toronto, ON, CA |
WE-A-201-4 | Joint K-B Space Image Reconstruction and Data Fitting for Diffusion-Weighted Magnetic Resonance Imaging J Deng*, X Jia, The University of Texas Southwestern Medical Ctr, Garland, TX |
WE-A-201-6 | BEST IN PHYSICS (IMAGING): Respiratory Motion Detection and Reconstruction Using CAPTURE and Deep Learning Phase2Phase Network for a 0.35 T MRI-LINAC System S Chen1*, C Eldeniz2, T Fraum3, D Ludwig4, W Gan5, U Kamilov6, D Yang7, Gach8, H An9, (1) Washington University in St. Louis, Saint Louis, MO, (2) Washington University in St. Louis, Saint Louis, MO, (3) Washington University in St. Louis, Saint Louis, MO, (4) Washington University in St. Louis, Saint Louis, MO, (5) Washington University in St. Louis, Saint Louis, MO, (6) Washington University in St. Louis, St. Louis, MO, (7) Duke University, Chapel Hill, NC, (8) Washington University in St Louis, Saint Louis, MO, (9) Washington University in St. Louis, Saint Louis, MO |
WE-A-202-1 | Assessing the DNA Damaging Effectiveness of Ionizing Radiation Using Plasmid DNA Y Maayah1*, H Nusrat2, G Pang2, M Tambasco1, (1) San Diego State Univ, San Diego, CA, (2) Odette Cancer Centre, Toronto, ON, CA |
WE-A-202-4 | Intra- and Inter-DNA Dosimeter Measurement Variability for Quantifying DNA Double Strand Breaks From Ionizing Radiation C Valdes*, M Tambasco, San Diego State Univ, San Diego, CA |
WE-A-202-5 | BEST IN PHYSICS (MULTI-DISCIPLINARY): MRI of Radiation Effects: First Images and An Investigation of a Potential Hydroxyl Radical Mechanism J Wancura1,2*, J Egan2, E Sajo2, A Sudhyadhom1, (1) Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, (2) University of Massachusetts Lowell, Lowell, MA |
WE-B-202-5 | Scatter Correction of 4D Cone Beam Computed Tomography Images for Time-Resolved Proton Dose Calculation: First Patient Application H Schmitz1*, M Rabe1, G Janssens2, S Rit3, K Parodi4, C Belka1,5, G Landry1,4, F Kamp1,6, C Kurz1,4, (1) Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany, DE, (2) Ion Beam Applications SA, Louvain-la-Neuve, Belgium, BE, (3) Univ Lyon, INSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69373, LYON, France, FR, (4) Department of Medical Physics, Ludwig-Maximilians-Universitaet Muenchen (LMU Munich), Garching (Munich), Germany, DE, (5) German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany, DE, (6) Department of Radiation Oncology, University Hospital Cologne, Cologne, Germany, DE |
WE-C1000-IePD-F1-3 | Automating 4DCT-Ventilation Imaging Generation Using AI-Based Advanced Lung Contours Y Chen1*, S Pahlavian2, P Jacobs2, F Forghani3, E Castillo4, R Castillo5, Y Vinogradskiy1, (1) Thomas Jefferson University, Philadelphia, PA, (2) MIM Software Inc., Beachwood, OH, (3) Washington University, Creve Coeur, MO, (4) University of Texas at Austin, Austin, TX, (5) Emory University, Atlanta, GA |
WE-C1000-IePD-F1-5 | On the Experimental Test of a Blurry Image Decomposition Algorithm for Correction of PET Motion Artifacts for Stereotactic Body Radiotherapy H Zhong*, Y Lu, N Morrow, E Gore, X Li, Y Liu, Medical College of Wisconsin, Milwaukee, WI |
WE-C1000-IePD-F4-3 | A Dosimetric Study of the Use of Hydrogel SpaceOAR™ in the Reduction of Rectal Doses for Patients Undergoing Prostate Stereotactic Body Radiotherapy N Gross1*, R Teboh Forbang1,2, H Kadji1, G Gejerman2, B Lewis1,2, (1) Hackensack Meridian Health At Mountainside Medical Center,(2) Hackensack University Medical Center, Hackensack, NJ |
WE-C1000-IePD-F5-4 | Development of An Extension Device for Cranial Localization On Patients with Broad Torsos for Stereotactic Radiosurgery Treatments E Morris1*, C Miller1, K Woods2, M Cao1, (1) Department of Radiation Oncology, UCLA Health, Los Angeles, CA, (2) Department of Radiation Oncology, University of Southern California, Los Angeles, CA |
WE-C1000-IePD-F6-1 | Active Bone Marrow Delineation in a Swine Model Via Proton Density Fat Fraction MRI and Multi-Energy CT D Coleman1*, J Meudt1, D Shanmuganayagam1, J Shah2, A McMillan1, A Pirasteh1, J Miller1, B Bednarz1, M Lawless1, (1) University of Wisconsin, Madison, WI (2) Siemens Healthineers, Durham, NC |
WE-C1000-IePD-F6-2 | Does Lung Function Imaging Modality Have a Dosimetric Impact On Functional Avoidance Treatment Planning: Assessment Using Prospective Clinical Trial Data J Belardo1*, S Zhang2, E Castillo3, R Castillo4, C Rusthoven5, B Jones6, M Miften6, T Guerrero7, I Grills7, Y Chen1, F Forghani8, P Sullivan2, Y Vinogradskiy1, (1) Thomas Jefferson University Sidney Kimmel Cancer Center, Philadelphia, PA, (2) Abington Memorial Hospital, Abington, PA,(3) University of Texas at Austin, Austin, TX, (4) Emory University, Atlanta, GA, (5) University Of Colorado Anschutz Medical Campus, CO, (6) University of Colorado School of Medicine, Aurora, CO, (7) Beaumont Health System, Royal Oak, MI, (8) Washington University, Creve Coeur, MO |
WE-C1000-IePD-F6-3 | Investigating the Feasibility of CT Ventilation Imaging On Fast, Low-Dose 4DCBCT to Enable Daily Adaptive Lung Function Sparing H Byrne1*, O Dillon1, S Blake1, J Kipritidis2, R O'Brien1, P Keall1, (1) ACRF Image X Institute, The University of Sydney, Sydney, AU (2) Northern Sydney Cancer Centre, Royal North Shore, Sydney, AU |
WE-C1030-IePD-F3-1 | The Spatial Accuracy of Ring-Mounted Halcyon Versus TrueBeam Linac for Single-Isocenter/Multi-Target SBRT Treatment R Mallory*, D Pokhrel, University of Kentucky, Lexington, KY |
WE-C1030-IePD-F3-2 | A New Independent Outcome Predictor for Lung Stereotactic Body Radiation Therapy Patients, Plan Averaged Beam Modulation H Liu*, C Li, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, CN |
WE-C1030-IePD-F3-4 | Development of Automated Sphere Placement Script for Lattice SBRT Using the Eclipse Scripting Application Programming Interface (ESAPI) W Tucker*, M Schmidt, T Mazur, J Hilliard, M Spraker, J Kavanaugh, Washington University School of Medicine in St. Louis, St. Louis, MO |
WE-C1030-IePD-F3-5 | Comparing the Analytic Anisotropic Algorithm Vs. Acuros XB for Dose Calculation in the Setting of Radioablation of Ventricular Tachycardia M Prusator1*, W Tucker2, T Mazur3, G Hugo4, C Robinson5, P Cuculich6, N Knutson7, (1) ,St. Louis, MO, (2) Washington University School of Medicine, Chesterfield, MO, (3) ,St. Louis, MO, (4) Washington University School of Medicine, St. Louis, MO, (5) ,Saint Louis, MO, (6) Washington University in St Louis, Saint Louis, MO, (7) Washington University School of Medicine, St. Louis, MO |
WE-C930-IePD-F4-5 | Secondary Monte Carlo Dose Calculation for Single Isocenter Multitarget SRS QA B Erickson1*, Y Cui2, C Wang2, W Giles2, M Alber6, J Adamson2, (1) Duke University, Durham, NC, (2) Duke University Medical Center, Durham, NC, (3) ScientificRT, Munich, Germany |
WE-C930-IePD-F5-4 | Deep Learning Improves Image Quality and Radiomics Reproducibility for High-Speed Four-Dimensional Computed Tomography Reconstruction B Yang*, X Chen, S Yuan, Y Liu, K Men, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing,China |
WE-C930-IePD-F7-4 | Evaluating the Impact of Deformation-Based and Scatter-Correction-Based Synthetic CT Generation Algorithms for Proton Therapy Y Tseng*, B Shen, H Lin, P Tsai, New York Proton Center, New York, NY |
WE-D-BRA-6 | Multi-Layer Micro-Structured Detector for Electron FLASH and VHEE D Brivio1*, A Liles1,2, M Gagne2, E Sajo2, P Zygmanski1, (1) Brigham and Women's Hospital, Boston, MA, (2) University of Massachusetts Lowell, Lowell, MA |
WE-E-202-6 | Variations in Activity and Dose Calculations in Pre-Treatment Planning for Hepatic Lobar Y-90 Microspheres Therapy When Using Anatomic Versus Functional Imaging Contouring Techniques D Alvarez1*, L Rodriguez1, R Herrera1, T Kutuk1, E Saugar1, A Kaiser1, M Chuong1, A Gutierrez1, S Kim1, R Gandhi1,2, (1) Miami Cancer Institute, Miami, FL, (2) Miami Cardiac & Vascular Institute, Miami, FL |
WE-E-BRA-6 | The Stereotactic Map and Compass: How to Use AFI Strategy Optimization and R50%Analytic to Find Your Way to An Excellent SRS/SRT Plan I Cordrey1*, D Desai2, (1) Cumberland Medical Center, Crossville, TN, (2) Memorial Hospital, Chattanooga, TN |
WE-F-206-1 | Evaluation of a Conventionally Shielded Proton Treatment Room for FLASH Radiotherapy Z Xiao*1,2, J Speth 1, Y Zhang 1,2, E Lee 1,2, A Mascia 1,2, M Lamba 1, 1.Department of Radiation Oncology, University of Cincinnati College of Medicine, Cincinnati, OH, USA 2. Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA |
WE-F-206-5 | Quantifying Reactive Species and Oxygen Consumed in FLASH Radiotherapy in Vitro to Assess Mechanisms of Tissue Damage Reduction J Sunnerberg1*, A Petusseau1, M Rahman1, X Cao1, P Bruza1, S Vinogradov2, B Pogue1,3, (1) Dartmouth College, Hanover, NH, (2) University Of Pennsylvania, Philadelphia, PA (3) University of Wisconsin-Madison, Madison, WI |
WE-FG-207-0 | Gonadal & Fetal Shielding Updates J Elee1*, Y Thakur2*, Q Moore3*, R Milman4*, (1) LA Dept of Environmental Qual, West Monroe, LA, (2) Vancouver Coastal Health Authority, Vancouver, BC, CA, (3) Mercy College of Ohio, Toledo, OH, (4) University of Colorado School of Medicine, Denver, CO |
WE-FG-207-1 | Regulatory Implications of Changes in Patient Shielding Practices J Elee1*, Y Thakur2*, Q Moore3*, R Milman4*, (1) LA Dept of Environmental Qual, West Monroe, LA, (2) Vancouver Coastal Health Authority, Vancouver, BC, CA, (3) Mercy College of Ohio, Toledo, OH, (4) University of Colorado School of Medicine, Denver, CO |
WE-FG-207-2 | Implementing Change in Patient Shielding Practices J Elee1*, Y Thakur2*, Q Moore3*, R Milman4*, (1) LA Dept of Environmental Qual, West Monroe, LA, (2) Vancouver Coastal Health Authority, Vancouver, BC, CA, (3) Mercy College of Ohio, Toledo, OH, (4) University of Colorado School of Medicine, Denver, CO |
WE-FG-207-3 | A Technologist's View of Patient Shielding J Elee1*, Y Thakur2*, Q Moore3*, R Milman4*, (1) LA Dept of Environmental Qual, West Monroe, LA, (2) Vancouver Coastal Health Authority, Vancouver, BC, CA, (3) Mercy College of Ohio, Toledo, OH, (4) University of Colorado School of Medicine, Denver, CO |
WE-FG-207-4 | Patient Shielding: What's Next? J Elee1*, Y Thakur2*, Q Moore3*, R Milman4*, (1) LA Dept of Environmental Qual, West Monroe, LA, (2) Vancouver Coastal Health Authority, Vancouver, BC, CA, (3) Mercy College of Ohio, Toledo, OH, (4) University of Colorado School of Medicine, Denver, CO |
WE-FG-207-5 | Q & A J Elee1*, Y Thakur2*, Q Moore3*, R Milman4*, (1) LA Dept of Environmental Qual, West Monroe, LA, (2) Vancouver Coastal Health Authority, Vancouver, BC, CA, (3) Mercy College of Ohio, Toledo, OH, (4) University of Colorado School of Medicine, Denver, CO |
WE-G-201-1 | Compton Scatter Events Improve Both Density and Spectral Dose Efficiency in Edge-On-Irradiated Silicon Photon-Counting CT F Gronberg1,4, Z Yin2*, J Maltz3, M Persson4, (1) GE Healthcare, Waukesha, WI,(2) GE Healthcare, Waukesha, WI, (3) GE Healthcare, Oakland, CA, (4) Kth Royal Institute Of Technology, SE |
WE-G-201-2 | Experimental Optimization of Photon-Counting Dual-Energy Angiography S Aubert*, J Tanguay, Ryerson University, Toronto, ON, Canada |
WE-G-201-3 | BEST IN PHYSICS (IMAGING): First Experimental Demonstration of Inter-Detector Row X-Ray Scattering in Edge-On Silicon Photon Counting CT: Impacts On Detective Quantum Efficiency C De Caro*, K Li, University of Wisconsin-Madison, Madison, WI |
WE-G-201-4 | Improved Spectral Imaging with More Energy Bins for Realistic Photon Counting Detectors A Wang1*, Y Yang1, S Wang1, Z Yin2, (1) Stanford University, Stanford, CA, (2) GE Healthcare |
WE-G-201-5 | Metal Artifact Correction Using High-Energy Data in Photon-Counting CT D Richtsmeier1*, J O'Connell1, P Rodesch1, K Iniewski2, M Bazalova-Carter1, (1) University of Victoria, Victoria, BC, CA, (2) Redlen Technologies, Saanichton, BC, CA |
WE-G-206-4 | Dosimetric Characterization of the ARIEL 10 MV X-Ray Ultrahigh Dose-Rate (FLASH) Irradiation Platform at TRIUMF N Esplen1*, L Egoriti2, T Planche3, A Hart1, B Paley3, C Hoehr3, A Gottberg3, M Bazalova-Carter1, (1) University of Victoria, Victoria, BC, CA, (2) University Of British Columbia, Vancouver, BC, CA, (3) TRIUMF, Vancouver, BC, CA |
WE-G-206-6 | Optimization of Target Design and Dose Rates for FLASH-RT of An 18 MV Medical Linear Accelerator Model Via GEANT4 Monte Carlo Simulation A Li1*, S.V. Kutsaev2, V Yu2, S Boucher2, K Sheng1, (1) UCLA Department of Radiation Oncology, Los Angeles, CA, David Geffen School of Medicine at UCLA (2) RadiaBeam, Santa Monica, CA |
WE-G-BRC-4 | Evaluation of Commercial AI Segmentation Software J Roper*, T Wang, Y Lei, S Dresser, B Ghavidel, L Qiu, J Zhou, O Kayode, K Luca, J Bradley, T Liu, X Yang, Emory University, Atlanta, GA |