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Keywords: deformation
MO-IePD-TRACK 3-2Correction of Gantry Induced Geometric Image Distortion On MRgRT at Various Gantry Angles with Deformation Vector Field
B Lewis1, J Shin1,2*, B Quinn3, E Barberi3, D Sievert1, J Kim2, T Kim1, (1) Washington University in St. Louis, Saint Louis, MO, (2) Yonsei University College of Medicine, Seoul, ,KR, (3) Modus Medical Devices, London, ON, CA
MO-IePD-TRACK 3-4High-Quality CBCT Reconstruction From Sparse and Limited-Size Projections Using a Joint Deformable Registration and Reconstruction Network (Reg-ReconNet)
Y Zhang*, UT Southwestern Medical Ctr at Dallas, Dallas, TX
MO-IePD-TRACK 4-1Automatic Liver Tumor Localization Using a Combined Deep Learning and Biomechanical Model (DL-Bio)
H Shao1*, X Huang2, M Folkert3, J Wang4, Y Zhang5, (1) The University of Texas Southwestern Medical Center, Dallas, TX, (2) Northwestern memorial hospital, Chicago, IL, (3) The University of Texas Southwestern Medical Center, Dallas, TX, (4) UT Southwestern Medical Center, Dallas, TX, (5) UT Southwestern Medical Ctr at Dallas, Dallas, TX
MO-IePD-TRACK 4-3Investigation of the Sensitivity of Ventilation Accuracy to the Deformable Image Registration Regularization Parameter
H Byrne1,3*, J Kipritidis2, O Dillon1, J Booth2,3, P Keall1, (1) ACRF ImageX Institute, Faculty of Medicine and Health, The University of Sydney, Australia, (2) Northern Sydney Cancer Centre, Royal North Shore Hospital, Australia, (3) Institute of Medical Physics, School of Physics, University of Sydney, Australia
PO-GePV-M-118Quantitative Analysis of the Accuracy of CT to CBCT Deformable Image Registration for Contour Mapping for Prostate Cancer
R Schmidt*, N Dogan, J Ford, M Studenski, M Abramowitz, K Padgett, B Spieler, Y Xu, R Delgadillo, University of Miami, Miami, FL
PO-GePV-M-133Evaluation of Deformable Image Registration Accuracy for Liver Patients Using Contrast and Non-Contrast CT Images
C Allen1,2*, A Yeo2, N Hardcastle2, R Franich1, (1) RMIT University, Melbourne, Victoria, AU, (2) Peter MacCallum Cancer Centre, Melbourne, Victoria, AU
PO-GePV-M-134Evaluation of Various Deformable Image Registration Algorithms for Abdomen Images with Biomechanically Modelled Deformations
Y Liu*, P Zhang, J Hong, G Mageras, W Lu, S Alam, J Deasy, L Cervino, Memorial Sloan Kettering Cancer Center, New York, NY
PO-GePV-M-135Evaluation of Synthetic CT Images Generated by Deformable Image Registration of Outdated Planning CT to CBCT of Treatment Day
J Yoon*, I Yeo, University of Rochester, Rochester, NY
PO-GePV-T-232Evaluation of Bladder Dosimetric Property for Localized Prostate Cancer Using Deformable Registration of Simulation CT
C Ma*, X Zhang, Y Zhang, N Yue, X Wang, Rutgers University, New Brunswick, NJ
PO-GePV-T-235Can a Seven-Day Subset of CBCTs Be Representative of All CBCTs When Reconstructing the Dose Delivered Over the Entire Course of Treatment for Prostate Bed Radiotherapy?
D Soliman1*, M Noy2, M Karp3, A Dal Pra3, E Bossart3, (1) University of Miami, Coral Gables, FL, (2) Florida International University, Miami, FL, (3) University Of Miami, Miami, FL
TH-IePD-TRACK 3-5Inter-Fraction Motion Assessment and Accumulated Dose Quantification of Upper GI Organs During MR-Guided Ablative SBRT Treatment
S Alam1*, H Veeraraghavan1, K Tringale1, E Amoateng2, C Crane1, N Tyagi1, (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) City University Of New York, New York, NY
TU-C-TRACK 3-2BEST IN PHYSICS (IMAGING): A GAN-Based Technique for Synthesizing Realistic Respiratory Motion in the 4D-XCAT Phantoms
Y Chang*, Z Jiang, P Segars, Z Zhang, F Yin, L Ren, Duke University Medical Center, Cary, NC
TU-IePD-TRACK 3-6Use 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 4-1A Clinically Implemented Watchdog Program to Streamline Adaptive LINAC-Based Head and Neck Radiotherapy
M Aristophanous*, E Aliotta, A Caringi, B Rochford, N Allgood, P Zhang, Y Hu, P Zhang, L Cervino, Memorial Sloan Kettering Cancer Center, New York, NY
TU-IePD-TRACK 6-1Development of a Multi-Layer Quality Assurance System for Adaptive Radiotherapy
H Zhong*, K Kainz, X Li, Medical College of Wisconsin, Milwaukee, WI
WE-F-TRACK 3-6An Unsupervised Ultrasound Liver Motion Tracking Using Deep Convolutional Neural Network
Y Lei*, X Dai, S Momin, J Roper, E Schreibmann, P Patel, J Bradley, T Liu, X Yang, Emory Univ, Atlanta, GA
WE-IePD-TRACK 3-7Enabling Upright Radiotherapy Through the Deformation of Horizontally Acquired Images
P Liu1,2*, D Waddington1,2, S Shan1,2, B Dong2, P Keall1,2, (1) ACRF Image X Institute, University of Sydney School of Health Sciences, Sydney, NSW, AU,(2) Department of Medical Physics, Ingham Institute for Applied Medical Research, Liverpool, NSW, AU
WE-IePD-TRACK 6-1Incorporating Organ Deformation in Biological Modeling and Patient Reported Outcome Study for Permanent Prostate Brachytherapy
S To1*, P Mavroidis1, R Chen2, A Wang1, T Royce1, T Zhu1, J Lian1, (1) University of North Carolina, Chapel Hill, NC, (2) University Of Kansas, Kansas City, KS,

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