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Keywords: Deformation
MO-E115-IePD-F2-2On the Utilization of a Pseudo-Inverse Consistency Metric to Evaluate Deformable Dose Accumulation Error for MRI-Guide Adaptive Radiotherapy
H Zhong*, J Garcia-Alvarez, K Kainz, X Li, Medical College of Wisconsin, Milwaukee, WI
MO-H345-IePD-F1-2A Patient-Specific Approach for Estimating the Voxel-Level Uncertainty Distribution of Deformable Image Registration in Adaptive Radiotherapy
S Meyer*, S Alam, L Kuo, Y Hu, L Cervino, P Zhang, Memorial Sloan Kettering Cancer Center, New York, NY
MO-H345-IePD-F1-5A Practical Guide to Radiotherapy Image Registration Software Commissioning with TG-132 Common Dataset
Y Natsuaki, M Fan, T McDaniels, R Shaw, P Sansourekidou*, University of New Mexico, Albuquerque, NM
MO-H345-IePD-F2-4Deep 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-F4-4Integrating Structure Propagation Uncertainties in The optimization of Online Adaptive Proton Therapy Plans
L Nenoff1,2*, G Buti1,2,3, A Sudhyadhom4, G Sharp1,2, H Paganetti1,2, (1) Harvard Medical School, Boston, Massachusetts, USA (2) Department of Radiation Oncology, Massachusetts General, Boston, MA, USA (3) Universite Catholique de Louvain, Institute of Experimental and Clinical Research (IREC), Center of Molecular Imaging, Radiotherapy and Oncology (MIRO), Belgium(4)Radiation Oncology, Brigham and Women's Hospital, Boston, Massachusetts, USA
PO-GePV-I-10Development 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-17Evaluation 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-M-103Preferred MRI Registration Techniques for Deformable Dose Accumulation in Abdomen
K Kainz*, J Garcia Alvarez, H Zhong, A Tai, E Ahunbay, X Li, Medical College of Wisconsin, Milwaukee, WI
PO-GePV-M-105Potential Benefit of a Library of Plans Strategy for Pre-Operative Gastric Cancer Radiotherapy
M Bleeker1*, M Hulshof1, K Goudschaal1, A Bel1, J-J Sonke1,2, A van der Horst1, (1) Department of Radiation Oncology, Amsterdam UMC - University of Amsterdam, Amsterdam, NL, (2) Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, NL
PO-GePV-M-115Correlation Between Angular Dependent Dose Projections and Field Shape Changes in Adapted VMAT Plans
P Kessler*, K Kirschbaum, F Schwab, K Bratengeier, *Department of Radiation Oncology, University Hospital Wurzburg, Wurzburg, Germany
PO-GePV-M-117Toward Offline Adaptive Therapy for Prostate Patients Using Velocity
E Bacon1*, S Wisnoskie2, M Hyun2, (1) Creighton University, Omaha, NE, (2) University of Nebraska Medical Center, Omaha, NE
PO-GePV-M-119DVH Distortion in Deformably Propagated Dose Grids - a Practical Challenge for Adaptive Radiotherapy
J Kipritidis1*, A Quinn1, T Morgas2, S Kuckertz3, N Papenberg3, S Heldmann3, T Coradi2, F Franco2, J Kieselmann2, C Huang2, J Booth1, (1) Northern Sydney Cancer Centre, Sydney, NSW, AU, (2) Varian Medical Systems, Palo Alto, CA, (3) Fraunhofer MEVIS, Lubeck, DE
PO-GePV-M-160Simulating 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-174Evaluation of Deformation Image Registration Algorithms Based On Deformation Vector Field for Radiotherapy
E Li1,2, Z Zhong1,2, Y An1,2, S Huang1, W Zheng1,3, J Lian1,4, 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) Guangzhou Xinhua College, Guangzhou, Guangdong, 510520, China,(3) Department of Radiation Oncology, Southern Theater Air Force Hospital of the People's Liberation Army, Guangzhou, Guangdong province, 510050, China,(4) Department of Radiation Oncology, The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong province, 510405, China
PO-GePV-T-7Difference of Pseudo Fluences - a Novel Concept for VMAT Plan Adaption
K Kirschbaum1, P Kessler1*, E Jung1, B Hahn2, K Bratengeier1, (1) Department of Radiation Oncology, University Hospital Wurzburg, Wurzburg, Germany, (2) Department of Mathematics, University of Stuttgart, Stuttgart, Germany
SU-F-BRC-4Ultra-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-F6-2Accuracy 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-F6-3Retrospective 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-K-BRC-2Evaluation of Confidence Intervals in Daily Deformable Dose Accumulation in Parotid Glands to Guide Dose Adaptation During CT-Guided Radiation Therapy of Head and Neck Cancer
J Garcia Alvarez*, K Kainz, H Zhong, C Schultz, X Li, Medical College of Wisconsin, Milwaukee, WI
TH-B-206-1A Novel Process for Clinical Commissioning of An Online Adaptive Radiotherapy Platform: Results and Recommendations
K Kisling*, T Keiper, D Branco, G Kim, K Moore, X Ray, UC San Diego, La Jolla, CA
TH-B-206-4Segmentation 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-E-BRC-3Longitudinal 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-BRC-5MUsculo-Skeleton-Aware Deep Learning-Based Deformable Registration for Head-And-Neck CT with a Relaxed Rigidity Constraint On Bony Structures
H Liu1,2*, E McKenzie3, Q Xu1,2, D Ruan1,2, K Sheng1,2, (1) UCLA, Los Angeles, CA, (2) UCLA School of Medicine, Los Angeles, CA, (3) Cedars-Sinai Medical Center, Los Angeles, CA