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Keywords: image-guided therapy
| 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-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-F6-1 | Experimental Validation of the Dosimetric Impact of a Gadolinium-Based Contrast Agent On a Photon Beam in the Presence of 1.5 T Magnetic Field K Hall1*, L Kim1, G Ibbott2, F Riaz4, M Reyhan3,4, (1) MD Anderson Cancer Center at Cooper, Camden, NJ, (2) The American Board of Radiology, Tucson, AZ, (3) Robert Wood Johnson University Hospital, Hamilton, NJ,(4) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ |
| 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-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-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-F2-5 | A Novel CT Guided Adaptive Radiotherapy Platform with An End-To-End Integrated Simulation to Treatment Solution N Wen1*, Y Liu2, J Zhou2, W Zhang2, L Wang2, C Ni2, (1) SJTU-Ruijing-UIH Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine(2) Shanghai United Imaging Healthcare Co., Ltd., |
| MO-H345-IePD-F5-4 | Real-Time Tracking Diaphragm Motion On During-Treatment KV Cone Beam Projection Images Using ResNet50 J Liang*, Q Liu, E Porter, D Yan, Beaumont Health System, Royal Oak, MI |
| MO-H345-IePD-F5-5 | A Deep Learning Fiducial Marker Detection Algorithm for Beam's-Eye-View Marker Tracking for Liver Cancer Patients D Chrystall1*, E Hewson2, C Sengupta2, A Mylonas2, T Wang3, R O'Brien2, Y Lee4, P Poulsen5, D Nguyen2, P Keall2, J Booth1, (1) Northern Sydney Cancer Centre, St Leonards, NSW, AU, (2) The University of Sydney, Sydney, NSW, AU, (3) Western Sydney Local Health District, NSW, AU, (4) Princess Alexandra Hospital, Qld, AU,(5) Aarhus University Hospital, Aarhus N, DK, |
| MO-I430-BReP-F2-2 | Prospective Test-Retest Evaluation of Diffusion-Weighted MRI Sequences On a 1.5T MR-Linac and a 1.5T MR Simulator for Oropharyngeal Cancers in Vivo and in Phantoms B McDonald1*, T Salzillo1, S Mulder1, S Ahmed1, A Dresner2, K Preston1, R He1, J Christodouleas3, A Mohamed1, J Wang1, P Van Houdt4, A Dave5, M Boss6, C Fuller1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Philips Healthcare, Best, Netherlands, (3) Elekta, Inc., Stockholm, Sweden, (4) Netherlands Cancer Institute, Amsterdam, Netherlands, (5) Memorial Sloan Kettering Cancer Center, New York, NY, (6) American College of Radiology, Malvern, PA |
| 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-65 | Standardizing Radiotherapy Structure Names with Multimodal Data: Deep Learning Approach P Bose1*, S Srinivasan2, P Turner3, W Sleeman4, J Palta5, R Kapoor6, P Ghosh7, (1) Virginia Commonwealth University, Richmond, VA, (2) Virginia Commonwealth University, ,,(3) ,,,(4) Virginia Commonwealth University, Richmond, VA, (5) Virginia Commonwealth University, Richmond, VA, (6) VCU Health System, Richmond, VA, (7) Virginia Commonwealth University, Richmond, |
| PO-GePV-M-83 | MRI-Based Synthetic CT Images Generated Using 3D Conditional GAN for IMPT Treatment Planning S Chen*, A Qin, R Deraniyagala, X Ding, William Beaumont Hospital, Royal Oak, MI Y Peng, Y Liu, C Zhao, X Deng, Sun Yat-sen University, Guangzhou, Guangdong, China |
| PO-GePV-M-86 | Determining the Feasibility of Integrating Laser Plasma Accelerated Proton Beams and Thermoacoustic Dose Imaging Into a Small Animal Image-Guided Therapy Platform M Vieceli*, A Almalki, K Stantz, Purdue University, West Lafayette, IN |
| PO-GePV-M-102 | MR-Guided Stereotactic Body Radiation Therapy for Unresectable Primary Liver Cancer: A Six-Year Experience R Chin1*, J Schiff1, A Bommireddy2, K Kang1, N Andruska1, A Price1, O Green1, Y Huang1, K Korenblat1, P Parikh3, J Olsen4, P Samson1, L Henke1, H Kim1, S Badiyan1, (1) Washington University School of Medicine, Saint Louis, MO, (2) Saint Louis University School of Medicine, Saint Louis, MO, (3) Henry Ford Cancer Institute, Detroit, MI (4) University of Colorado School of Medicine, Aurora, CO |
| PO-GePV-M-121 | The Dosimetric Performance of Online Adaptive Radiotherapy Based On CT-LINAC for Cervical Cancer DZ Jiang*, CX Yang*, ZJ Mei, J Gong, H Liu#, H Qiu#, XY Wang#, Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors,Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China, 430071 |
| PO-GePV-M-129 | A Single-Phantom Study of the 2D/3D Auto-Match On ARIA-TrueBeam Platform D Wang1*, (1) Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-M-132 | Analysis of Intra-Fractional Motion in Prostate Stereotactic Body Radiation Therapy R Cattell*, A Hsia, J Kim, X Qian, S Lu, A Slade, K Mani, S Ryu, Z Xu, Stony Brook University Medical Center, Stony Brook, NY |
| PO-GePV-M-133 | IGRT Registration Errors Comparisons and the Effects On the Dosimetric Analysis for IMRT in Nasopharyngeal Carcinoma J Lian1,2, S Huang1, W Zheng1,3, E Li4, T Wen2, 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, The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong province, 510405, China, (3) Department of Radiation Oncology, Southern Theater Air Force Hospital of the People's Liberation Army, Guangzhou, Guangdong province, 510050, China, (4) Guangzhou Xinhua College, Guangzhou, Guangdong, 510520, China |
| 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-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-194 | Feasibility of PTV Margin Reduction for Pelvic Oligometastatic Disease Treated Using MRI-Guided Adaptive Radiotherapy J Snyder1*, J St. Aubin1, D Dunkerley1, D Hyer1, (1) University of Iowa Hospitals and Clinics, Iowa City, IA |
| PO-GePV-M-215 | Evaluation of Surface Guided Radiation Therapy (SGRT) for Prone Breast Cancer External Beam Radiation Therapy m mashayekhi1*, A Gopal1, E Kowalski1, L Douglass2, C Tindall2, H Xu1, J Zhou1, S Lee1, M MacFarlane1, (1) University of Maryland School of Medicine, Baltimore, MD, (2) Shore Regional Cancer Center, Easton, MD |
| PO-GePV-M-218 | SpyGRT: An Open-Source Low-Cost Surface Guidance System for Radiotherapy Research Y Ben Bouchta*, C Sengupta, M Gardner, T Reynolds, P Keall, University of Sydney, Sydney, NSW, AU, |
| PO-GePV-M-226 | Characterization of Image Quality During MR-Guided Radiotherapy (MRgRT) Localization: Impact of Coil Sensitivity Mapping R Herrera1, J McCulloch1,2, P Shipman2, A Gutierrez1,2, T Romaguera1,2, D Alvarez1,2, I Aizpurua3, M Chuong1,2, M Mehta1,2, J Bayouth4, K Mittauer1,2*, (1) Miami Cancer Institute, Miami, FL (2) Florida International University, Miami, FL (3) ViewRay Inc, Oakwood, OH (4) University of Wisconsin-Madison, Madison, WI |
| PO-GePV-M-235 | Correcting Geometric Image Distortion and Isocenter-Shift at Various Gantry Angles On a 0.35T MRgRT S Marasini1*, B Quinn2, M Cole2, R Flores2, T Kim1, (1) Washington University in St. Louis, Saint Louis, MO, (2) Modus Medical Devices, London, ,CA |
| PO-GePV-M-249 | Improving Target Dose Coverage with Patient’s Comfort Arms-Down Planning in 0.35T MRgRT S Marasini1*, D Holloway2, J Park3, T Kim1, (1) Washington University in St. Louis, Saint Louis, MO, (2) Viewray (3) University of Texas Southwestern, Dallas, TX, |
| PO-GePV-M-253 | MR-Based Treatment Planning and Plan Adaptation for Treating Cardiac Metastases with MR-Linac J Yang*, P Castillo, A Sobremonte, B Lee, M Pham, N Hughes, M Mohammadsaid, X Wang, P Lee, UT MD Anderson Cancer Center, Houston, TX |
| PO-GePV-M-259 | Commissioning Elekta Unity MR Imaging Sequences for MRI-Guided Brachytherapy W Massock*, Y Kim, J St-Aubin, University of Iowa, College of Medicine, Iowa City, IA |
| PO-GePV-M-261 | Optimizing MRI Readout of Fricke Gel Dosimeters On a 1.5T MR-Linac M MacCallum1*, I Malajovich2, S Serai3, T Salzillo4, A Dresner5, G Ibbott6, L Kim7, (1) University of Pennsylvania, Philadelphia, PA, (2) MD Anderson Cancer Center at Cooper, Camden, NJ, (3) CHOP, Gladwyne, PA, (4) MD Anderson Cancer Center, Houston, TX, (5) Philips Healthcare, ,,(6) The American Board of Radiology, Tucson, AZ, (7) MD Anderson Cancer Center at Cooper, Camden, NJ |
| PO-GePV-M-266 | Quantifying Setup Uncertainties in Treating Intramuscular Metastases with Image-Guided Radiation Therapy S Prajapati*, Z Yu, Y Zhao, T Lim, H Wang, X Wang, B Lee, P Castillo, A Sobremonte, A Farooqi, D Mitra, R Kudchadker, C Tang, J Yang, UT MD Anderson Cancer Center, Houston, TX |
| PO-GePV-M-268 | Gating Parameters for MR-Guided Radiotherapy: When One Tracks Not What One Treats C Ainsley*, Thomas Jefferson University, Philadelphia, PA |
| 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-322 | Deep Learning Based Patient-Specific Auto-Segmentation of Target and Organs at Risk On Daily Fan-Beam CT Images Y Chen*, S Butler, L Yu, Y Zhou, L Shen, N Kovalchuk, H Bagshaw, M Gensheimer, L Xing, B Han, Stanford University School of Medicine, Stanford, CA |
| PO-GePV-T-9 | Evaluating Accuracy of Biology-Guided Radiotherapy Using QUASAR 4D Motion Phantom G Bal1*, P Olcott1, D Zaks1, S Khan1, J Burns1, J Schmall1, L Shao1, T Laurence1, O Oderinde1, M Surucu2, M Narayanan1, G Kuduvalli1, (1) Reflexion Medical, Hayward, CA, (2) Stanford University School of Medicine, Palo Alto, CA, |
| PO-GePV-T-37 | Are We Improving? The Learning Curve for Implementing Intraoperative Ultrasound-Guided Prostate High Dose Rate (HDR) Brachytherapy A Besemer1*, J Wong1, S Wang1, M Hyun1, S Wisnoskie1, D Schott1, D Zheng1,2, Y Lei1,3, K Gallagher1, S Hendley1, (1) University of Nebraska Medical Center, Omaha, NE, (2) University of Rochester, Rochester, NY, (3) Barrow Neurological Institute, Phoenix, AZ |
| PO-GePV-T-95 | Tracking a Moving Gold Implant Using Cherenkov Light K Okazaki1, E Brost2, Y Watanabe1*, (1) University of Minnesota ,Minneapolis, MN, (2) Mayo Clinic, Rochester, MN |
| PO-GePV-T-143 | Multi-Isocenter Congruence Tracking with a Custom In-House Software Package A Faught*, J Zhang, L Wilson, S Al-Ward, E Batin, St. Jude Children's Research Hospital, Memphis, TN |
| PO-GePV-T-201 | Analysis of IGRT QA Image Accuracy Over One Year S Roy1*, B Sarkar2, A Pradhan3, (1) Manipal Hospital Dwarka & GLA University Mathura, Delhi, DELHI, IN, (2) Apollo Gleneagles Cancer Hospital Kolkata, Kolkata, WB, IN, (3) Centre for Cosmology, Astrophysics and Space Science, GLA University, Mathura, UP, IN |
| PO-GePV-T-243 | Process Based Tolerance and Action Limits for IMRT/SBRT Delivery On a Novel Biology-Guided Radiotherapy System M Ashraf1*, N Kovalchuk2, J Fu3, M Shi4, S Cui5, B Han6, M Surucu7, (1) Stanford University, Palo Alto, CA, (2) Stanford University Cancer Center, Stanford, CA, (3) Stanford University, Stanford, CA, (4) Stanford, Palo Alto, CA, (5) Stanford University, Palo Alto, CA, (6) Stanford University School of Medicine, Stanford, CA, (7) Stanford University School of Medicine, Palo Alto, CA |
| PO-GePV-T-431 | Motion Dose Application (MoDoC) to Calculate Dosimetric Impact of Intra-Fraction Motion for SBRT Prostate Patients L Happersett, S Burleson, M Zelefsky, P Zhang, P Wang, L Jacobs, A Damato*, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-T-450 | High Resolution XACT Imaging for Precision Radiotherapy K Bjegovic1, S Wang1, R Liu 1, A Liu2*, L Xiang1, T Kim1, (1) University of California, Irvine, Irvine, CA, (2) City of Hope Medical Center, Duarte, CA |
| 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-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-BRC-1 | Evaluation of Variables Predicting Pulmonary Function Test (PFT) Changes for Lung Cancer Patients Treated On a Prospective 4DCT-Ventilation Functional Avoidance Clinical Trial N Ghassemi1*, R Castillo2, E Castillo3, B Jones4, M Miften5, B Kavanagh6, B Lu7, M Werner-Wasik8, R Miller9, J Barta10, I Grills11, T Guerrero12, C Rusthoven13, Y Vinogradskiy14, (1) Thomas Jefferson University Hospital, Philadelphia, PA, (2) Emory University, Atlanta, GA, (3) University of Texas at Austin, Austin, TX, (4) University of Colorado School of Medicine, Aurora, CO, (5) University of Colorado School of Medicine, Aurora, CO, (6) University of Colorado School of Medicine, Aurora, CO, (7) University of Florida, Gainesville, FL, (8) Sidney Kimmel Cancer Center at Thomas Jefferson University Hospital, Philadelphia, ,(9) Thomas Jefferson University, ,,(10) Thomas Jefferson University, ,,(11) Beaumont Health System, Royal Oak, MI, (12) ,Royal Oak, MI, (13) University Of Colorado Anschutz Medical Campus, ,,(14) Thomas Jefferson University, Philadelphia, PA |
| SU-F-BRC-4 | Ultra-Quality Multi-Parametric 4D-MRI for Real-Time Tumor Tracking in Liver Radiation Therapy Using A Dual-Supervised Downsampling-Invariant Deformable Registration Model H Xiao1*, X Han1, S Zhi1, Y Wong1, C Liu1, W Li1, W Liu2, W Wang2, Y Zhang2, H Wu2, H Lee3, A Cheung4, H Chang3, T Li1, J Cai1, (1) The Hong Kong Polytechnic University, Hong Kong, 91, CN, (2) Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 11, CN, (3) The University Of Hong Kong, ,,(4) Queen Mary Hospital, ,, |
| SU-H300-IePD-F5-4 | Exploring the Proton Intra-Beam Range Verification for On-Line Adaptive Therapy: Initial Study with Low-Dose Short-Acquisition PET Imaging D Yang1*, X Zhu2, L Ma1, M Chen1, Y Park1, W Lu1, Y Shao1, (1) The University of Texas Southwestern Medical Ctr, Dallas, TX, (2) UT MD Anderson Cancer Center, Houston, TX. |
| 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-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-F6-2 | Accuracy of An Automated Software for Adaptive Radiotherapy of Head and Neck Cancers S Gros1,2*, A Block1,2, A Santhanam3, (1) Loyola University Chicago, Stritch School of Medicine, Department of Radiation Oncology, Maywood, IL, (2) Loyola University Medical Center, Maywood, Illinois, (3) University of California, Los Angeles, Los Angeles, CA |
| SU-H300-IePD-F6-3 | Retrospective Clinical Evaluation of a Decision-Support Software for Adaptive Radiotherapy of Head & Neck Cancer Patients S Gros1,2*, A Block1,2, B Lee1,2, B Emami1, A Santhanam3, (1) Loyola University Chicago, Stritch School of Medicine, Department of Radiation Oncology, Maywood, IL, (2) Loyola University Medical Center, Maywood, Illinois, (3) University of California, Los Angeles, Los Angeles, CA |
| SU-H300-IePD-F9-4 | An In-Vivo Evaluation of MRI Sequences for Online Adaptive Cardiac Radioablation in the Presence of Cardiac Implantable Devices On a 1.5 T MR-Linac O Akdag1*, ALH Van Lier1, S Mandija1, R Keesman1,2, PTS Borman1, SMG Van De Pol1, JJC Verhoeff1, FAA Mohamed Hoesein1, RJ Hassink1, BW Raaymakers1, MF Fast1, (1) University Medical Center Utrecht, Utrecht, NL, (2) Radboud University Medical Center, Nijmegen, NL |
| SU-H300-IePD-F9-5 | Synthesizing High-Resolution 4D Cine MR Images for Mobile Tumor Motion Assessment J Lee1,2*, H Gach1, E Laugeman1, J Chun2,3, J Kim2,3, T Kim1, (1) Washington University School of Medicine in St. Louis, St. Louis, MO, (2) Yonsei University College of Medicine, Seoul, KR, (3) Oncofost Inc., Seoul, KR |
| SU-H330-IePD-F5-1 | Dosimetric and Image Quality Assessment of a Novel Deep Learning-Based Framework for MRI Synthesis From CT for Prostate High Dose-Rate Brachytherapy A Podgorsak1,2*, B Venkatesulu1,2, M Abuhamad3, M Harkenrider1,2, A Solanki1,2, J Roeske1,2, H Kang1,2, (1) Department of Radiation Oncology, Stritch School of Medicine, Cardinal Bernadin Cancer Center, Loyola University Chicago, Maywood, IL, (2) Loyola University Medical Center, Maywood, IL, (3) Department of Computer Science, Loyola University Chicago, Chicago, IL |
| SU-H330-IePD-F6-5 | Real-Time Motion Monitoring Under Deep Inspiration Breath Hold Using Orthogonal Cine MRI for Abdominal Targets On MR-Linac H Jassar1*, A Tai1, X Chen1, E Paulson1, F Lathuiliere2, S Beriault2, F Hebert2, L Savard2, D Cooper2, S Cloake2, X Li1, (1) Medical College of Wisconsin, Milwaukee, WI, USA,(2) Elekta, Stockholm, Sweden |
| SU-H400-IePD-F8-2 | Feasibility of Predicting Deliverable Daily Plans Using Deep Learning for MR-Guided Adaptive Radiation Therapy S Hamdan1*, H Nasief1, L Buchanan2, Y Zhang1, E Omari1, X Li1, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Brown University, Providence, RI |
| 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-F8-5 | Automated Deformable Registration Using Patch-Based ViT-Morph for MR-Guided Adaptive Radiotherapy Y Zhao*, X Chen, C Yu, L Court, B McDonald, T Pan, H Wang, X Wang, J Phan, J Yang, UT MD Anderson Cancer Center, Houston, TX |
| SU-I400-BReP-F3-4 | Reference Dosimetry in External MR-Guided Radiotherapy A Sarfehnia1, P Alvarez2, H Bouchard3, L de Prez4, J Dolan5, G Ibbott6, V Malkov7*, B Muir8, D Rogers9, B Van Asselen10, J Wolthaus10, P Yadav11, (1) University of Toronto, Toronto, ON, CA, (2) UT MD Anderson Cancer Center - IROC, Houston, TX, (3) Universite De Montreal, Department of Physics, Montreal, QC, CA, (4) VSL - Dutch Metrology Institute, Delft, ZH, NL, (5) Elekta, Inc, Clayton, MO, (6) The American Board of Radiology, Tucson, AZ, (7) Princess Margaret Cancer Centre, Toronto, ON, CA, (8) National Research Council, Ottawa, ON, CA, (9) Carleton Univ, Ottawa, ON, CA, (10) UMC Utrecht, Utrecht, UT, NL, (11) Northwestern University Feinberg School of Medicine, Chicago, IL |
| SU-J-202-1 | Low-Dose, Short-Acquisition, On-Line PET Imaging for Proton Intra-Beam Range Verification D Yang1*, X Zhu2, L Ma1, M Chen1, Y Park1, W Lu1, Y Shao1, (1) The University of Texas Southwestern Medical Ctr, Dallas, TX, (2) UT MD Anderson Cancer Center, Houston, TX |
| SU-K-202-6 | Ultra-Sensitive Single Pixel Bioluminescence Tomography for in Vivo Cell Tracking Z Tong*, Z Deng, X Xu, K Wang, UT southwestern medical center, Dallas, TX |
| 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-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 |
| TH-CD-BRA-0 | State of the Art of Adaptive Radiotherapy R Mak1*, R Kashani2*, K Mittauer3*, B Han4*, (1) Brigham and Women's Hospital, Boston, MA, (2) Seidman Cancer Center /UH Cleveland & CWRU, OH, Cleveland, OH, (3) Miami Cancer Institute, Miami, FL, (4) Stanford University School of Medicine, Stanford, CA |
| 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-AB-BRC-0 | Biomarkers of Response to Radiation and Immune Modulating Therapies for Advanced Cancer Management D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-AB-BRC-1 | Introduction to the Biomarker Landscape D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-AB-BRC-2 | Evolving Paradigm for Assessing Response to Immunomodulatory Therapies D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-AB-BRC-3 | Radiomics of Radiation and Immune Response Patterns D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-AB-BRC-4 | Clinical and Preclinical Imaging of the Immune System D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-AB-BRC-5 | Role of Molecular Diagnostics and Advanced Tumor Tissue Analysis To Guide Optimal Anti-Cancer Treatment D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-AB-BRC-6 | Combining Imaging & Circulating Biomarkers of Response To Personalize Chemo-Immunotherapy and Radiation Therapy D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-AB-BRC-7 | Panel Discussion D Mankoff1*, M Farwell1*, R Li2*, A Wu3*, K Schalper4*, S Bowen5*, (1) University of Pennsylvania, Philadelphia, PA, (2) Stanford University, Palo Alto, CA, (3) City of Hope, Los Angeles, CA, (4) Yale University, New Haven, CT, (5) University of Washington, School of Medicine, Issaquah, WA |
| TU-D1000-IePD-F2-1 | A Protocol for Implementing CBCT Guided Daily Online Adaptive Radiotherapy Safely and Efficiently to Maximize Patient Benefit X Ray*, K Kisling, G Kim, K Moore, University of California, San Diego, La Jolla, CA |
| TU-D1000-IePD-F5-4 | Using Liver Dome Positions to Improve the Breath-Hold Reproducibility for Gated Liver SBRT B Guo*, K Stephans, N Woody, P Xia, Cleveland Clinic Foundation, Cleveland, OH |
| TU-D1000-IePD-F5-5 | Daily Dose Assessment On Organ Variation and Target Coverage for Post-Operative Prostate Cancer Patients S Lo*, B Laughlin, T DeWees, M Beckett, K Tinnon, C Vargas, S Schild, N Yu, J Rwigema, S Keole, W Wong, Y Rong, Mayo Clinic Arizona, Phoenix, AZ |
| TU-D1000-IePD-F9-1 | 3D X-Ray-Induced Acoustic Fluoroscopy for Interventional Operations S Wang1*, V Ivanov2, P Pandey1, L Sun1, K Bjegovic1, L Xiang1, (1) University of California, Irvine, CA, (2) Photosound Technologies Inc, Houston, TX |
| 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-F4-5 | On the Use of Fully-Automated HyperArc VMAT Module Or Halcyon RDS for Angiosarcoma of Total Scalp Irradiation D Pokhrel*, M Bernard, W St Clair, M Kudrimoti, University of Kentucky, Lexington, KY |
| TU-D930-IePD-F5-3 | Surface Monitoring for Dynamic Trajectory Radiotherapy - A Feasibility Study HA Loebner1*, J Bertholet1, D Frauchiger1, MFM Stampanoni2, P Manser1, MK Fix1, (1) Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland, (2) Institute for Biomedical Engineering, ETH Zuerich and PSI, Villigen, Switzerland |
| TU-D930-IePD-F5-4 | Four-Dimensional Magnetic Resonance Fingerprinting (4D-MRF) Using Motion Compensation and Alternating Direction Method of Multipliers (ADMM) for Liver Cancer Radiotherapy C Liu1, T Li1, P Cao2, E Hui1, Y Wong1, Z Wang2, H Xiao1, W Li1, X Teng1, J Zhang1*, A Cheung2, H Lee2, M Ying1, J Cai1, (1) The Hong Kong Polytechnic University, Hong Kong, China (2) The University Of Hong Kong, Hong Kong, China |
| TU-G-BRA-6 | Multi-Field 3D MLC-Based Spatially Fractionated Radiotherapy for Large and Bulky Masses: Risk of Intrafraction Motion Errors C Lemos*, M Bernard, W St Clair, M Kudrimoti, D Pokhrel, University of Kentucky, Lexington, KY |
| 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-I345-IePD-F3-1 | Longitudinal Lung Tumor Segmentation On CBCTs Using Sequential Transduction Neural Network and Self-Supervised Domain Adaptation R Li1*, N Ebadi2, A Das2, A Roy2 N Kirby1, N Papanikolaou1, M Bonnen1, P Rad2, (1) University of Texas Health Science Center SA, San Antonio, TX (2) University of Texas at San Antonio, San Antonio, TX |
| 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-B-201-5 | Model Based Real-Time Prediction of Gastric Contractile Motion Y Zhang*, Y Cao, J Balter, University of Michigan, Ann Arbor, MI |
| WE-B-BRC-3 | Feasibility of Image- and Emission-Guided Radiation Therapy Within a Small Animal Radiation Irradiator Integrated with Quad-Modal On-Board Imaging X Li1,2*, H Wang1,2, L Xu1,2, Y Ren1,2, W Deng1, H Feng3, Z Yang4, S Ma1,5, Q Ni6, Y Kuang7, (1) Medical Imaging and Translational Medicine Laboratory, Hangzhou Cancer Center, Hangzhou, CN, (2) Department of Radiotherapy, Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou, CN, (3) Patient Follow-up Center, Hangzhou Cancer Hospital, Hangzhou, CN, (4) Department of Radiotherapy, Xiangya Hospital Central South University, Changsha, CN, (5) Medical Oncology, Xiaoshan Hospital Affiliated to Hangzhou Normal University, Hangzhou, CN, (6) Department of Radiology, Hunan Cancer Hospital, Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, CN, (7) Medical Physics Program, University of Nevada, Las Vegas, NV, USA |
| WE-C1000-IePD-F2-1 | 3D Ultrasound to 3D MR Image Registration for Motion Management in the Liver Using Novel MR-Compatible Ultrasound Probe S Jupitz*, B Bednarz, University of Wisconsin, Madison, WI |
| WE-C1000-IePD-F2-3 | Developing In-Situ QA Tools for MRI-MV Isocenter Coincidence Check in 0.35T MRgRT T Kim1*, H Zhang1, S Marasini1, M Cole2, G Koenig2, R Flores2, (1) Washington University in St. Louis, Saint Louis, MO, (2) Modus Medical Devices, Inc., London, ON, CA |
| WE-C1000-IePD-F2-4 | Dynamic 2D Cine From Beam Eye’s View (BEV) with Projected Tumor Volume for MR-Guided Radiotherapy X Nie1, G Li2, J Jeong2*, (1) University of Kentucky, Lexington, KY, (2) Memorial Sloan Kettering Cancer Center, New York, NY |
| 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-F6-4 | PET Image Quality Enhancement for RefleXion X1 Biology-Guided Radiotherapy (BGRT) System Using Patient-Specific Mean Teacher UNet (MT-UNet) J Fu1*, Z Zhang1, L Shi1, Z Hu2, P Dong1, G Pratx1, L Vitzthum1, D Chang1, L Xing1, W Liu1, (1) Stanford Radiation Oncology, Stanford, CA, (2) Reflexion Medical, Inc., Union City, CA |
| WE-C1030-IePD-F4-6 | Evaluation of Dosimetric Effects of Patient Positioning for VMAT-Based Total Body Irradiation I Duarte*, P Galavis, S Taneja, N Gerber, D Barbee, J Teruel, NYU Langone Health, New York, NY |
| WE-C930-IePD-F2-3 | Development of Markerless Intra-Fraction Motion Prediction in Image-Guided Radiotherapy Based On Deep Learning D Zhou1*, M Nakamura1, N Mukumoto2, Y Matsuo3, T Mizowaki3, (1) Kyoto University, Graduate School of Medicine, Department of Human Health Sciences, Kyoto, JP, (2) Osaka City University, Graduate School of Medicine, Department of Radiation Oncology, Osaka, JP, (3) Kyoto University, Graduate School of Medicine, Department of Radiation Oncology and Image-Applied Therapy, Kyoto, ,JP |
| WE-C930-IePD-F6-5 | A Generative Adversarial Transfer Learning Framework for Predicting Lung Diaphragm and Rib-Cage Mechanics From Free and Forced Breathing Lung Imaging A Santhanam1*, B Stiehl2, M Lauria3, L Naumann4, I Barjaktarevic5, M McNitt-Gray6, D Low7, (1) University of California, Los Angeles, Los Angeles, CA, (2) ,Los Angeles, CA, (3) UCLA, Los Angeles, CA, (4) ,Los Angeles, CA, (5) University of California, Los Angeles, Los Angeles, ,(6) David Geffen School of Medicine at UCLA, Los Angeles, CA, (7) UCLA, Los Angeles, CA |
| WE-C930-IePD-F6-6 | Predict Voxel-Wise Active Bone Marrow Loss of Anal Cancer Patients Treated with Chemoradiation Using 3D U-Net Deep Learning of Post-Radiotherapy PET Images Y Yue*, Y Le, O Ishaq, T Lautenschlaeger, Indiana University School of Medicine, Indianapolis, Indiana |