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Keywords: Image-guided Therapy
| MO-A-TRACK 6-1 | Cardiac Radioablation: MRI-Guided Tracking of Cardiac-Induced Target Motion S Lydiard1*, B Pontre2, N Hindley1, B Lowe3, G Sasso4, P Keall1, (1) ACRF Image X Institute, University of Sydney, Sydney, AU, (2) Department of Anatomy and Medical Imaging, University of Auckland, Auckland, NZ (3) Green Lane Cardiovascular Service, Auckland City Hospital, Auckland, NZ (4) Cancer & Blood, Radiation Oncology, Auckland City Hospital, Auckland, NZ |
| MO-A-TRACK 6-4 | Mechatronics-Assisted MRI-Guided Focal Laser Ablation of the Prostate: A Phantom Study E Knull1,2, C Park1,2*, J Bax2, D Tessier2, A Fenster1,2, (1) Western University, London, ON, Canada, (2) Robarts Research Institute, London, ON, Canada |
| MO-A-TRACK 6-5 | An Investigation of Microwave Ablation Equipment Interference with Wireless Patient Monitoring C Favazza*, A Ferrero, J Felmlee, Mayo Clinic, Rochester, MN |
| MO-B-TRACK 6-5 | Quantitative Relaxometry for Ultra-Hypofractionated MR-Guided Radiotherapy to the Prostate and DIL: A Feasibility Study E Subashi*, E LoCastro, V Brennan, A Apte, M Zelefsky, N Tyagi, Memorial Sloan-Kettering Cancer Center, New York, NY |
| MO-EF-TRACK 4-3 | Fast 4D-CBCT Reconstruction Using a Novel Feature-Compensated Deformable Convolutional Network (FeaCo-DCN) Z Jiang1*, Y Chang2, Z Zhang3, F Yin4, L Ren5, (1) Duke Univeristy, Durham, NC, (2) Duke University, Durham, NC, (3) Duke Univeristy,Durham, NC, (4) Duke University, Durham, NC, (5) Duke University, Durham, NC |
| MO-IePD-TRACK 3-1 | A Hybrid Approach for Correcting CBCT by Exploiting Individual Strength of Deep Learning and Deformable Registration J Uh*, C Wang, S Acharya, C Hua, St. Jude Children's Research Hospital, Memphis, TN |
| MO-IePD-TRACK 3-1 | Autosegmentation On Low-Resolution T2-Weighted MRI of Head and Neck Cancers for Off-Line Dose Reconstruction in MR-Linac Adapt-To-Position Workflow B McDonald1*, C Cardenas2, N O'connell3, S Ahmed4, M Naser5, J Xu6, D Thill7, R Zuhour8, S Mesko9, A Augustyn10, S Buszek11, S Grant12, B Chapman13, A Bagley14, K Wahid15, R He16, A Mohamed17, A Dresner18, J Christodouleas19, K Brock20, C Fuller21, (1) UT MD Anderson Cancer Center, Houston, TX, (2) UT MD Anderson Cancer Center, Houston, TX, (3) Elekta Inc., ,,(4) UT MD Anderson Cancer Center, ,,(5) UT MD Anderson Cancer Center, Houston, ,(6) Elekta Inc., St. Charles, MO, (7) Elekta Inc., St. Charles, MO, (8) University Of Texas Medical Branch, ,,(9) UT MD Anderson Cancer Center, ,,(10) UT MD Anderson Cancer Center, ,,(11) UT MD Anderson Cancer Center, ,,(12) UT MD Anderson Cancer Center, ,,(13) UT MD Anderson Cancer Center, ,,(14) UT MD Anderson Cancer Center, ,,(15) UT MD Anderson Cancer Center, ,,(16) UT MD Anderson Cancer Center, Houston, TX, (17) UT MD Anderson Cancer Center, Houston, TX, (18) Philips Healthcare, ,,(19) Elekta Inc., ,,(20) UT MD Anderson Cancer Center, Houston, TX, (21) UT MD Anderson Cancer Center, Houston, TX |
| MO-IePD-TRACK 3-3 | Generative Adversarial Networks for Synthetic CT Generation From MR Scans with Truncated Anatomy Y Zhao1,2*, L Court1,2, C Yu1,2, C Cardenas1,2, H Wang1,2, X Wang2, J Phan2, J Yang1,2, (1) University of Texas MD Anderson UTHealth Graduate School of Biomedical Sciences, Houston, TX (2) University of Texas MD Anderson Cancer Center, Houston, TX |
| MO-IePD-TRACK 3-4 | Optimizing Site-Specific Diffusion Weighted Imaging in An MR-Linac H Nusrat1,2*, L Lawrence3,4, R Chan3, A Lau3,4, A Elzibak1, B Chugh1,2,5, A Sahgal2, B Keller1,2, (1) Department of Medical Physics, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, CA, (2) Department of Radiation Oncology, University of Toronto, Toronto, ON, CA, (3) Sunnybrook Research Institute, Toronto, ON, CA, (4) Department of Medical Biophysics, University of Toronto, Toronto, ON, CA, (5) Department of Physics, Ryerson University, Toronto, ON, CA |
| MO-IePD-TRACK 3-7 | Real-Time Motion Tracking Based On Orthogonal Cine MRI for Abdominal Tumors On 1.5T MR-Linac H Jassar1*, A Tai1, X Chen1, T Keiper1, E Paulson1, F Lathuiliere2, S Beriault2, F Hebert2, L Savard2, D Cooper2, S Cloake2, X Li1, (1) Medical College of Wisconsin, Milawkee, WI, USA (2) Elekta, Stockholm, Sweden |
| PO-GePV-M-16 | Predicting Successful Clinical Candidates for Marker-Less Lung Tumor Tracking with a Deep Learning Classification Model M Lafreniere*, G Valdes, M Descovich, University of California San Francisco, San Francisco, CA |
| PO-GePV-M-32 | Intrafractional Tumor Motion Prediction Using Surrogates On Pancreatic Cine MRgRT A Guta1*, J Shin2, B Lewis3, Z Ji4, J Kim5, T Kim6, (1) Washington University in St. Louis, St. Louis, MO, (2) Yonsei University College of Medicine, Seoul, ,KR, (3) Washington University School of Medicine in St. Louis, Saint Louis, MO, (4) Washington University St Louis, ,,(5) Yonsei University College of Medicine, Seoul, ,KR, (6) Washington University in St. Louis, Saint Louis, MO |
| PO-GePV-M-67 | Fiducial Registration-Error Analysis of PCA Lung Model for DVF Assessment O Trejo1*, S Samant2, G Yan3, B Lu4, (1) University of Florida, Hampton, FL, (2) University of Florida, Gainesville, FL, (3) University of Florida, Gainesville, FL, (4) University of Florida, Gainesville, FL |
| PO-GePV-M-79 | Comparison of the Efficacy of CT On Rails Versus In-Room CBCT for Online Daily Adaptive Proton Therapy K Nesteruk1*, M Bobic1, A Lalonde1, H Lee1, G Sharp1, J Verburg1, B Winey1, A Lomax2, H Paganetti1, (1) Massachusetts General Hospital and Harvard Medical School, Boston, MA, (2) Paul Scherrer Institute, Villigen, CH |
| PO-GePV-M-102 | Integrating Temporal Physical and Biological Dose Distribution Analysis in Imaged-Guided Hypofractionated Radiosurgery of High-Risk Brain Lesions B Ziemer*, M Lafreniere, L Boreta, SE Braunstein, L Ma, University of California San Francisco Department of Radiation Oncology, San Francisco, CA |
| PO-GePV-M-103 | Development a Portable Body Surface Monitoring System Using Depth Camera R Oshika1*, S Mori2, A Nomoto2, Y Tachibana2, K Yasui3, M Ichihara1, S Kurata1, N Hayashi3, (1)Graduate School of Health Sciences, Fujita Health University , Toyoake, Aichi ,JP, (2)National Institute of Radiological Sciences, National Institutes of Quantum and Radiological Science and Technology, Inage, Chiba, JP(3)Fujita Health University, Tayoake, Aichi, JP |
| PO-GePV-M-108 | Fusion of Multi-Scale Feature Maps Improves Anisotropic Structure Detection From CT Images Y Xie1*, G Sharp2, D Gierga3, T Hong4, T Bortfeld5, K Kang6, (1) Massachusetts General Hospital, Boston, MA, (6) Bio-tree System, Inc., |
| PO-GePV-M-121 | Deep-Learning Based Auto-Classification of Anatomical Regions for IGRT Applications: Implementation and Explainability J Cruz Bastida*, S Li, E Pearson, H Al-Hallaq, The University of Chicago, Chicago, IL |
| PO-GePV-M-125 | Characterization of Imaging Performance Of a Novel Helical KVCT System for Use in Image-Guided and Adaptive Radiotherapy R Tegtmeier*, W Ferris, J Bayouth, W Culberson, University of Wisconsin, Madison, WI |
| PO-GePV-M-152 | Deep Learning Markerless Spine Tracking Using Intrafraction Motion Management (IMR) Images: A Feasibility Study for Paraspinal SBRT Motion Management F Li*, W Cai, X He, P Zhang, L Cervino, X Li, T Li, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-M-155 | Feasibility Study of An InBore Real-Time Surface Monitoring System G Kim1*, (1) University of California, San Diego, La Jolla, CA |
| PO-GePV-M-157 | Towards Real-Time Markerless Prostate IGRT During VMAT Treatment A Mylonas1,2*, M Mueller1,2, P Keall1, J Booth3, D Nguyen1,2,3, (1) ACRF Image X Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, AU, (2) School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, AU, (3) Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, NSW, AU |
| PO-GePV-M-159 | Towards Faster and More Accurate Target Localization On Intrafraction X-Ray Fluoroscopy for Lung Radiotherapy Using Modified YoloV3 Detector L Deng1*, Z Dai2, X Liang1,3, Y Xie1, (1) Shenzhen Institutes of Advanced Technology, Shenzhen, 44, CN, (2) Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 44, CN, (3) Stanford University School of Medicine, Stanford, CA, |
| PO-GePV-M-194 | Optimizing the Accuracy and Training Speed of An Artificial Neural Network for Three-Dimensional Tumour Trajectory Prediction in Linac-MR Image-Guided Radiation Therapy N W Johnson1*, B G Fallone1,2, J Yun1,2, (1) University of Alberta, Edmonton, AB, CA, (2) Cross Cancer Institute, Edmonton, AB, CA |
| PO-GePV-M-221 | Inverse Shielding for Super High-Frequency (SHF) Microwaves to Ensure Contemporary PET Imaging Quality K Wang1*, M Huq2, (1) UPMC Hillman Cancer Center, Pittsburgh, PA, (2) UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, Pittsburgh, PA |
| PO-GePV-M-246 | A Motion Phantom Study On RefleXion X1: The Dosimetric Impacts of Stereotactic Radiation Therapy Delivery Technique and Motion D Capaldi1a*, E Simiele1a, M Owens2, B Han1, M Surucu1, L Xing1, L Vitzthum1, D Chang1, N Kovalchuk1, (1) Stanford University, Stanford, CA, (2) RefleXion Medical, Hayward, CA |
| PO-GePV-M-262 | Development of Markerless Pancreatic Tumor Tracking Realized by Deep Learning D Zhou1*, M Nakamura1, N Mukumoto1, M Yoshimura2, T Mizowaki2, (1) Kyoto University, Graduate School of Medicine, Kyoto, ,JP, (2) Kyoto University Hospital, Kyoto, ,JP |
| PO-GePV-T-99 | The Software Controller of Isocentric Rotation Chair Positioner for Treating Patients with Head/Neck Cancers in Fixed Carbon-Ion Beamline W Hsi1*, X Zhang2, F Yang2, R Zhou2, (1) Univerisity Florida Health Proton Therapy Institute, Jacksonville, Florida, US (2) College of Physical Science and Technology, Sichuan University, Chengdu, Sichuan Province, China |
| PO-GePV-T-332 | Comparing Ideal and Realistic Surrogate Motions with the Radixact Synchrony System K Jeong*, L Goddard, W Tome, Montefiore Medical Center, Bronx, NY |
| PO-GePV-T-334 | Pre-Treatment 4DCT Fiducial Marker Combination Selection for Robotic Lung SBRT W Belcher*, A Ju, J Jung, East Carolina Univ, Greenville, NC |
| PO-GePV-T-335 | Prediction of Fiducial Marker Positions in Robotic SBRT Using 4D-CTs at Different Treatment Dates J Jung1*, W Belcher1, K Patel1, E Patel1, K Yang2, S Sharma2, A Ju2, (1) East Carolina Univ, Greenville, NC, (2) Medical School of East Carolina Univ, Greenville, NC |
| PO-GePV-T-382 | Thoracic Spine SBRT: Is Free Breathing CT Sufficient for VMAT Planning? K Xu*, Y Zhang, J Zhou, N Yue, C Ma, Rutgers - Cancer Institute of New Jersey, NJ |
| SU-B-TRACK 6-4 | Managing Tumor Changes During Fractionated Radiotherapy: Evaluation On a Deep-Learning-Based Predictive Model and a Re-Planning Strategy R Li1*, A Roy2, N Kirby1, N Bice1, S Sivabhaskar1, M Fakhreddine1, N Papanikolaou1(1) UT Health San Antonio MD Anderson Cancer Center, San Antonio, Texas, (2) The University of Texas at San Antonio, San Antonio, Texas |
| SU-D-TRACK 4-3 | Biomechanical Simulation of Lung Motion for Tumor Position Estimation During Radiation Therapy M Ranjbar1*, P Sabouri2, S Mossahebi3, A Sawant3, P Mohindra3, G Lasio3, L Topoleski1, (1) University Of Maryland, Baltimore County, Baltimore, MD, (2) Miami Cancer Institute, Miami, FL, (3) University of Maryland School of Medicine, Baltimore, MD. |
| SU-D-TRACK 4-4 | Motion Management During Breath-Hold SBRT Liver Treatments: External Optical Monitoring Is Not Adequate – First Results of the TROG 17.03 Liver Ablative Radiotherapy with KIM (LARK) D Nguyen1,3,4*, T Moodie2, C Sengupta3, E Sullivan2, T Blacketer2, R O'Brien3, J Booth4, Y Lee5, T Wang2, P Keall3, (1) University of Technology Sydney, Ultimo, NSW, Australia, (2) Crown Princess Mary Cancer Centre, Sydney, NSW, Australia, (3) ACRF Image X Institute, University of Sydney, Sydney, NSW, Australia (4) Royal North Shore Hospital, Sydney, NSW, Australia (5) Department of Radiation Oncology, Princess Alexandria Hospital, Brisbane, QLD, Australia |
| SU-F-TRACK 6-6 | Synthesizing Real-Time In-Treatment 4D Images Based On Optical Surface Signals and Pre-Treatment Images: A Proof-Of-Concept Study Y Huang*, Y Zhang, Peking University Cancer Hospital & Institute, Beijing, CN |
| SU-F-TRACK 6-7 | Evaluating the Clinical Impact and Accuracy of Real-Time KV Imaging in Liver SBRT A Santoso1*, Y Vinogradskiy1, T Robin1, K Goodman2, T Schefter1, M Miften1, B Jones1, (1) University of Colorado Anschutz Medical Campus, Aurora, CO, (2) Mount Sinai, New York, NY |
| SU-IePD-TRACK 1-1 | Electroacoustic Tomography for Monitoring Electroporation in Real Time S Wang1*, A Zarafshani2, L Xiang1, (1) University of California, Irvine, Irvine, CA, (2) Eastern Washington University, Spokane, WA |
| TH-B-TRACK 6-1 | Decompose KV Projections Using Neural Network for Improved Motion Tracking in Paraspinal SBRT X He*, W Cai, F Li, Q Fan, P Zhang, L Cervino, X Li, T Li, Memorial Sloan Kettering Cancer Institute, New York, NY |
| TH-B-TRACK 6-2 | Near Real-Time Intra-Fractional 6D Monitoring of Prostate Position Using a Scheme Based On the Skeletonization of Implanted Marker Images H Kuo1,2*, D Lovelock1, C Della-Biancia1, A Damato1, L Happersett1, S Lin2, M Zelefsky1, L Cervino1, S Berry1, (1) Memorial Sloan Kettering Cancer Center, New York, CT, (2) Norwalk Hospital, Norwalk, CT, |
| TH-B-TRACK 6-3 | Prediction of Lung Tumor Position Using 0.35 T Cine MRgRT in Retrospective Study J Shin1,2*, Z Ji1, Y Huang1, B Lewis1, A Guta1, S Oh3, J Kim2, T Kim1, (1) Washington University in St. Louis, Saint Louis, MO, (2) Yonsei University College of Medicine, Seoul, ,KR, (3) Allegheny General Hospital, Wexford, PA |
| TH-CD-TRACK 8-0 | Therapy: Adaptive Therapy AI Software Planning Systems D Schofield1*, N Dwivedi2*, A Schulte3*, N Dogan4*, L Schulte5*, (1) AdventHealth Orlando, Clermont, FL, (2) Mim Software, Inc., (3) TheraPanacea, Paris, FR, (4) University of Miami, Miami, FL, (5) Siris Medical |
| TH-CD-TRACK 8-1 | The Ghost in the Shell: Understanding How AI Can Improve Adaptive Radiation Therapy Workflows D Schofield1*, N Dwivedi2*, A Schulte3*, N Dogan4*, L Schulte5*, (1) AdventHealth Orlando, Clermont, FL, (2) Mim Software, Inc., (3) TheraPanacea, Paris, FR, (4) University of Miami, Miami, FL, (5) Siris Medical |
| TH-CD-TRACK 8-2 | Automated Adaptive Assessment Utilizing On-Board Imaging and Monte Carlo Dose Calculation D Schofield1*, N Dwivedi2*, A Schulte3*, N Dogan4*, L Schulte5*, (1) AdventHealth Orlando, Clermont, FL, (2) Mim Software, Inc., (3) TheraPanacea, Paris, FR, (4) University of Miami, Miami, FL, (5) Siris Medical |
| TH-CD-TRACK 8-3 | Background of ART-Plan™ Proposal for ART-Plan™ D Schofield1*, N Dwivedi2*, A Schulte3*, N Dogan4*, L Schulte5*, (1) AdventHealth Orlando, Clermont, FL, (2) Mim Software, Inc., (3) TheraPanacea, Paris, FR, (4) University of Miami, Miami, FL, (5) Siris Medical |
| TH-CD-TRACK 8-4 | Varian's Adaptive Planning Solution - Online or Offline D Schofield1*, N Dwivedi2*, A Schulte3*, N Dogan4*, L Schulte5*, (1) AdventHealth Orlando, Clermont, FL, (2) Mim Software, Inc., (3) TheraPanacea, Paris, FR, (4) University of Miami, Miami, FL, (5) Siris Medical |
| TH-CD-TRACK 8-5 | InsightRT: Automated Adaptive Therapy Decision Support and Insurance Authorization D Schofield1*, N Dwivedi2*, A Schulte3*, N Dogan4*, L Schulte5*, (1) AdventHealth Orlando, Clermont, FL, (2) Mim Software, Inc., (3) TheraPanacea, Paris, FR, (4) University of Miami, Miami, FL, (5) Siris Medical |
| TH-CD-TRACK 8-6 | Q&A D Schofield1*, N Dwivedi2*, A Schulte3*, N Dogan4*, L Schulte5*, (1) AdventHealth Orlando, Clermont, FL, (2) Mim Software, Inc., (3) TheraPanacea, Paris, FR, (4) University of Miami, Miami, FL, (5) Siris Medical |
| TH-IePD-TRACK 3-1 | Benchmark of 4DCT Derived Motion Models with a Biomechanical Lung Model for Tumor Position Estimation P Sabouri1*, M Ranjbar2, S Mossahebi3, A Sawant3, P Mohindra3, G Lasio3, L Topoleski2, (1) Miami Cancer Institute, Miami, FL, (2) University of Maryland, Baltimore County, MD, (3) University of Maryland, School of Medicine, Baltimore, MD |
| TH-IePD-TRACK 3-2 | Feasibility of Intrafraction Motion Management Using Triggered KV Imaging During Spine Stereotactic Radiosurgery J Koo1*, L Nardella1, M Degnan2, J Andreozzi1, H Yu1, J Penagaricano1, P Johnstone1, D Oliver1, K Ahmed1, S Rosenburg1, E Wuthrick1, R Diaz1, V Feygelman1, E Moros1, G Redler1(1) H Lee Moffitt Cancer Center And Research Institute, Tampa, FL, (2) The Ohio University, Columbus, OH |
| TH-IePD-TRACK 3-3 | Respiration-Induced Target Motion Prediction From a Surrogate Signal in Radiotherapy : A Bayesian Framework C Remy*1,2, D Ahumada1,2, A Labine1,2, J Côté3, M Lachaine4, H Bouchard1,2,3, (1) Université de Montréal, Montréal, QC, CA, (2) Centre de recherche du Centre hospitalier de l'université de Montréal, Montréal, QC, CA, (3) Centre hospitalier de l'université de Montréal, Montréal, QC, CA, (4) Elekta Ltd., Montreal, QC, CA |
| TH-IePD-TRACK 5-3 | Uncertainty in OSLD Dose Reading Due to CBCT-Based IGRT S Charyyev*, J Harms, Z Diamond, E Elder, B Ghavidel, M Axente, Emory University, Atlanta, GA |
| TU-AB-TRACK 4-0 | Functional Image-Guided Targeting and Avoidance in Radiation Therapy Y Vinogradskiy1*, M Matuszak2*, B Han3*, A Sawant4*, (1) University of Colorado Anschutz Medical Campus, Aurora, CO, (2) University of Michigan, Ann Arbor, MI, (3) Stanford University School of Medicine, Stanford, CA, (4) University of Maryland School of Medicine, Baltimore, MD |
| TU-B-TRACK 7-0 | Adaptive SBRT for Liver and Pancreas Patients R Martin1*, J Niedzielski1*, K Mittauer2*, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Miami Cancer Institute, Baptist Health South Florida, Miami, FL |
| TU-B-TRACK 7-1 | Intro: Challenges in Pancreas and Liver Patients Receiving SBRT R Martin1*, J Niedzielski1*, K Mittauer2*, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Miami Cancer Institute, Baptist Health South Florida, Miami, FL |
| TU-B-TRACK 7-2 | Importance of Daily Adaption for the Management of Liver and Pancreas Patients Receiving SBRT R Martin1*, J Niedzielski1*, K Mittauer2*, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Miami Cancer Institute, Baptist Health South Florida, Miami, FL |
| TU-B-TRACK 7-3 | MR Guidance and Online Adaptation of Liver and Pancreas Patients R Martin1*, J Niedzielski1*, K Mittauer2*, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Miami Cancer Institute, Baptist Health South Florida, Miami, FL |
| TU-B-TRACK 7-4 | Q&A R Martin1*, J Niedzielski1*, K Mittauer2*, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Miami Cancer Institute, Baptist Health South Florida, Miami, FL |
| TU-C-TRACK 4-5 | Simultaneous Whole-Lung Ventilation-Perfusion Imaging with Volumetric CT in Non-Small Cell Lung Cancer: A Feasibility Study H Young1,2,3*, F Su3, T Lee2,3,4, S Gaede1,2, (1) London Regional Cancer Program, London, ON, CA, (2) Western University, London, ON, CA, (3) Robarts Research Institute, London, ON, CA, (4) Lawson Health Research Institute, London, ON, CA |
| TU-E-TRACK 6-6 | Simultaneous Segmentation of Target and Organ at Risk in Thoracic Kilovoltage Images M Mueller1,2*, A Mylonas1,2, P Keall1, J Booth3, D Nguyen1,2,3, (1) ACRF Image X Institute, Sydney, NSW, AU, (2) University of Technology Sydney, Ultimo, NSW, AU (3) Royal North Shore Hospital, Sydney, NSW, AU |
| TU-EF-TRACK 4-3 | Biologically Guided Deep Learning for Post-Radiation PET Image Outcome Prediction: A Feasibility Study of Oropharyngeal Cancer Application C Wang1*, H Ji2, A Bertozzi2, D Brizel1, Y Mowery1, F Yin1, K Lafata1, (1) Duke University Medical Center, Durham, NC, (2) University of California, Los Angeles, Los Angeles, CA |
| TU-F-TRACK 6-6 | Measuring the Clinical Impact of the Introduction of a Novel Auto-Contouring Workflow for 0.35T MRI-Guided Pelvic Radiotherapy Y Abdulkadir*, D Luximon, E Morris, P Chow, J Lamb, University of California, Los Angeles, Los Angeles, CA |
| TU-IePD-TRACK 3-6 | Use of Deep Learning Segmentation and Biomechanical Models to Improve Dose Accumulation Accuracy in GI Structures M McCulloch1*, G Cazoulat1, B Rigaud1, B Anderson1, E Kirimli1, S Gryshkevych2, S Svensson2, A Ohrt1, J Ohrt1, N Chopra1, R Mathew1, M Zaid1, D Elganainy1,3, P Balter1, E Koay1, K Brock1, (1) UT M.D. Anderson Cancer Center, Houston, TX, (2) RaySearch Laboratories AB, Stockholm, SE, (3) Dana-Farber Cancer Institute, Boston, MA |
| TU-IePD-TRACK 3-7 | CBCT-Based, Physicist-Driven Daily Adaptive Protocol for Locally Advanced Cervical Cancer: Improved Target Coverage and Reduced Margins in a 20-Minute Treatment Slot D Branco*, J Mayadev, K Moore, X Ray, UC San Diego, La Jolla, CA |
| TU-IePD-TRACK 6-1 | Development of a Multi-Layer Quality Assurance System for Adaptive Radiotherapy H Zhong*, K Kainz, X Li, Medical College of Wisconsin, Milwaukee, WI |
| WE-B-TRACK 5-0 | TG-302 Surface Image Guided Radiotherapy (SGRT): Prevalence and Clinical Applications H Al-Hallaq1*, T Pawlicki2*, L Padilla3*, L Cervino4*, (1) The University of Chicago, Chicago, IL, (2) UC San Diego, La Jolla, CA, (3) Virginia Commonwealth University, Richmond, VA, (4) Memorial Sloan Kettering Cancer Center, New York, NY |
| WE-B-TRACK 7-0 | Ultrasound Image Guidance for Interventions E Harris1*, S Camps2*, M Antico3*, (1) Institute of Cancer Research and Royal Marsden Hospital, London, London, GB, (2) EBAMed, CH, (3) Queensland University of Technology, Brisbane, Queensland, AU |
| WE-C-TRACK 6-7 | Auto-Detection of Structural Similarity Index Map From Daily MRI as An Indicator for MR-Guided Online Adaptation Replanning Abdul K Parchur, Sara Lim, Haidy Nasief, Eenas Omari, Ying Zhang, X. Allen Li*, Medeical College of Wisconsin, Milwaukee, WI |
| WE-D-TRACK 6-1 | Auto-Correction of Inaccurate Auto-Segmentation for MRI-Guided Adaptive Radiotherapy J Ding1*, Y Zhang1, A Amjad1, J Xu2, D Thill2, X Li1, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Elekta Inc., St. Charles, MO |
| WE-D-TRACK 6-2 | Multi-Parametric Ultra-Quality 4D-MRI Synthesis Using VoxelMorph-Based Deformable Image Registration H Xiao1*, T Li1, R Ni1, G Ren1, W Liu2, W Wang2, Y Zhang2, H Wu2, H Lee3, H Chang3, L Cheung3, J Cai1, (1) The Hong Kong Polytechnic University, Hong Kong, China (2) Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China (3) The University of Hong Kong, Hong Kong, China |
| WE-F-TRACK 3-4 | X-Ray Acoustic Computed Tomography of Linac Photon Beams: Medium Dependent Experiments G Gonzalez1*, S Wang2, P Pandey2, K Prather1, J Caron1, S Ahmad1, L Xiang2, Y Chen2, (1) University of Oklahoma Health Sciences Center, Oklahoma City, OK (2) University of California, Irvine, CA |
| WE-F-TRACK 3-5 | 4D MR Reconstruction Based On Real-Time 3D Ultrasound for Image-Guided Radiotherapy S Jupitz*, J Holmes, B Bednarz, University of Wisconsin, Madison, WI |
| WE-IePD-TRACK 3-1 | A Framework of Utilizing Biological Models for Iso-Toxic Adaptive Replanning in MR-Guided Radiotherapy P Prior*, E Quashie, A Tai, X Li, Medical College of Wisconsin, Milwaukee, WI |
| WE-IePD-TRACK 3-4 | Dose Accumulation Comparison Between Adapt-To-Shape and Adapt-To-Position for MRL Adaptive SBRT Prostate Patients CD Johnstone*, T Tadic, V Malkov, D Letourneau, and J Winter. Princess Margaret Cancer Centre, Toronto, ON, Canada |
| WE-IePD-TRACK 3-4 | Powering Predictive Treatment Planning by a Seq2seq Deep Learning Predictor D Lee*, Y Hu, L KUO, S Alam, E Yorke, A Rimner, P Zhang, Memorial Sloan-Kettering Cancer Center, New York, NY |
| WE-IePD-TRACK 3-5 | Positron Emission Tomography (PET) Characterization for Biology-Guided Radiotherapy (BgRT) Z Hu1*, M Narayanan1, V Ferri2, A Iagaru2, N Kovalchuk3, B Han3, L Xing3, L Vitzthum3, P Olcott1, M Bieniosek1, T Laurence1, S Shirvani1, D Chang3, M Surucu3, (1) Reflexion Medical, Inc., Hayward, CA (2) Stanford University School Of Medicine, Department of Radiology, Stanford, CA, (3) Stanford University School of Medicine, Department of Radiation Oncology, Stanford, CA |
| WE-IePD-TRACK 3-7 | Super Resolution for Improving 2D Cine-MRI Resolution During MR-Guided Radiotherapy of Pancreatic Cancer Patients B Lewis1*, J Chun2, J Shin1,2, Z Ji1, J Park3, J Kim2, T Kim1, (1) Washington University in St. Louis, Saint Louis, MO, (2) Yonsei University College of Medicine, Seoul, ,KR, (3) University of Texas Southwestern, Dallas, TX |
| WE-IePD-TRACK 4-6 | A Novel Reconstruction Method for 3D Cone Beam CT Images in Proton Therapy Using RTK J Lindsay1*, A Bryce-atkinson1, M Taylor1,2, S Meara2,1, M Aznar1,2, M van Herk1,2, (1) The University of Manchester, Manchester, GB, (2) The Christie NHS Foundation Trust, Manchester, GB |
| WE-IePD-TRACK 6-1 | Design and Testing of a Novel Phantom for Camera Calibration of Skin Tones with SGRT V Bry*, N Bice, N Kirby, D Saenz, N Papanikolaou, K Rasmussen, UT Health San Antonio MD Anderson Cancer Center, San Antonio, Texas |
| WE-IePD-TRACK 6-1 | The Role of Surface-Guided Radiation Therapy to Improve Patient Safety N Viscariello1*, H Al-Hallaq2, V Batista3, M Kugele4, E Ford1, J Meyer1, (1) University of Washington, Seattle, WA (2) The University of Chicago, Chicago, IL, (3) Heidelberg University Hospital, Heidelberg, DE (4) Lund University Hospital, Lund, ,SE |
| WE-IePD-TRACK 6-6 | Streamlining Complex Multi-Isocentric VMAT Based Treatment Delivery Using a Newly Developed Software Tool J Teruel*, P Galavis, K Osterman, S Taneja, B Cooper, N Gerber, C Hitchen, D Barbee, NYU Langone Health, New York, NY |