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Taxonomy: IM/TH- Image Analysis (Single modality or Multi-modality): Image registration
| MO-E115-GePD-F5-2 | Composition of Deformation Vector Fields for Dose Mapping During Head and Neck Adaptive Radiotherapy G Cazoulat*, M McCulloch , H Bahig , B Elgohari , H Elhalawani , A Mohamed , C Fuller , K Brock , The University of Texas MD Anderson Cancer Center, Houston, TX |
| MO-E115-GePD-F5-3 | Respiratory Deformation Registration in 4D-CT/CBCT Using Deep Learning X Teng1*, Y Chen2 , Z Jiang2 , Y Zhao1, L Ren2 , (1) Duke Kunshan University, Kunshan, (2) Duke University, Durham, NC |
| MO-E115-GePD-F5-6 | Investigation of the Accuracy of Deformable Image Registrations Between Average-Intensity Images Y He*, G Cazoulat , M McCulloch , P Balter , Z Liao , R Mohan , K Brock , The University of Texas MD Anderson Cancer Center, Houston, TX |
| PO-GePV-I-11 | Transfer Learning Based Deformable Image Registration in Pancreatic SBRT C Wessels*, C Rao , N Givehchi , S Scheib , Varian Medical Systems, Baden - Daettwil |
| PO-GePV-M-1 | Dosimetric Assessment of Three Different Rigid Registration Methods in Proton Therapy for Breast Cancer X Ming1*, Y Sheng1 , Q Zhang1 , J Zhao1 , (1) Shanghai Proton and Heavy Ion Center, Shanghai, |
| PO-GePV-M-12 | 4D IMRT QA: Optimum Ways to Setup Motion Phantom M Zhang1*, Y Song1 , L Voros1 , X Tang2 , (1) Memorial Sloan Kettering Cancer Center, Bergen, NJ, (2) Memorial Sloan Kettering Cancer Center, West Harrison, NY |
| PO-GePV-M-26 | Data Driven Deformable Image Registration for Extreme Deformations E Castillo1*, D Fuentes2 , (1) Beaumont Health Research Institute, Houston, TX, (2) MD Anderson, Houston, TX |
| PO-GePV-T-117 | Quality Assurance Parameters in Image Registration K Maloney1*, (1) ,Holden, MA |
| PO-GePV-T-220 | Study On Dose Accumulation in Postoperative IMRT Radiotherapy for Left Breast Cancer After Surgery M Su*1,2, G Gong1 , X Qiu2 , Y Yin1 , (1)Shandong Cancer Hospital Affiliated to Shandong University, Jinan,Shandong (2)University of South China , Hengyang, Hunan |
| SU-F-302-3 | Automated Fiducial-Based Registration and Dose Normalization for 3D Dosimetry Y Wang1*, O Dona2 , Y Xu3, J Adamovics4 , C Wuu5 , (1) Columbia University, New York, NY, (2) Columbia University, New York, NY, (3) Columbia University, New York, NY, (4) HEURIS, INC., Skillman, NJ, (5) Columbia Univ, New York, NY |
| SU-I400-GePD-F6-4 | Image Registration Workflow for Frameless GammaKnife Icon Treatment KE Mooney*, E Hubley , M Schelin , Y Yu , W Shi , H Liu , Thomas Jefferson University, Philadelphia, PA |
| SU-I430-GePD-F6-5 | Using Deep Learning for Patient Surface Registration in Rectal Cancer Radiotherapy: A Feasibility Study J Wang*, Y Yuan , W Hu , Z Zhang Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China |
| SU-K-221AB-3 | Patch-Based Local Intensity Correction for CT/CBCT Deformable Registration S Proell1, K Fritscher1, G Sharp2*, (1) UMIT, Hall In Tirol, Austria, (2) Massachusetts General Hospital, Boston, MA |
| SU-K-221AB-6 | Automated Estimation of Deformable Image Registration Uncertainty in the Liver Y Zhang1*, J Balter2 , R Kashani3 , (1) Univ Michigan, Ann Arbor, MI, (2) Univ Michigan, Ann Arbor, MI, (3) University of Michigan, Ann Arbor, MI |
| SU-K-221AB-7 | Evaluation of Deformable Image Registration Accuracy in Pediatric Radiotherapy Following TG-132 Recommendations O Ates*, L Zhao , C Hua , T Merchant , St. Jude Childrens Research Hospital, Memphis, TN |
| SU-L-221CD-7 | Reconstruction of Difference with Anatomical Change Preserving Deformable Registration for Sequential Lung Cancer Screening J Flores1*, G Gang2 , C Lin3 , S Fung4 , J Stayman5 , (1) Johns Hopkins University, Baltimore, MD, (2) Johns Hopkins University, Baltimore, MD, (3) Johns Hopkins University Radiology, Baltimore, ,(4) Siemens Healthineers, Ellicott City, MD, (5) Johns Hopkins University, Baltimore, MD |
| TH-A-225BCD-1 | Integrating Computer Vision and Non-Linear Optimization for Automated Deformable Registration of Three-Dimensional Medical Images KT Huang*, Pymedix, Inc., Northfield, IL |
| TH-A-225BCD-3 | A Novel Deformable Registration Method Using a Multi-Scale Framework with Joint Training of Unsupervised Deep Learning Models Z Jiang*, F Yin, L Ren, Duke University Medical Center, Durham, NC |
| TH-A-225BCD-8 | Hands Off Deep Learning Derived Synthetic CT and Contour Driven Multimodal Registration in the Head and Neck E McKenzie*, N Tong , A Santhanam , M Cao , D Ruan , K Sheng , UCLA School of Medicine, Los Angeles, CA |
| TH-A-225BCD-9 | Imposing Learnt Flexible Vector Field Prior Using a Deformation Representation Model in An Image Registration Network Y Sang*, D Ruan , University of California, Los Angeles, CA |
| TH-A-225BCD-11 | Multimodal Image Fusion for Prostate Biopsy and Focal Brachytherapy with Convolutional Neural Network Autosegmentation and Anatomical Landmark-Based Registration S Sultana , A Robinson , D Song , J Lee*, Johns Hopkins University, Baltimore, MD |
| TH-D-SAN1-0 | Adaptive Radiation Therapy (Online, Offline, Real Time) K Brock1*, C Glide-Hurst2*, J Booth3*, C Fuller4*, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Henry Ford Health System, Detroit, MI, (3) Royal North Shore Hospital, St Leonards, NSW, Australia (4) MD Anderson Cancer Center, Houston, TX |
| TH-D-SAN1-1 | Offline ART K Brock1*, C Glide-Hurst2*, J Booth3*, C Fuller4*, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Henry Ford Health System, Detroit, MI, (3) Royal North Shore Hospital, St Leonards, NSW, Australia (4) MD Anderson Cancer Center, Houston, TX |
| TH-D-SAN1-2 | Online ART K Brock1*, C Glide-Hurst2*, J Booth3*, C Fuller4*, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Henry Ford Health System, Detroit, MI, (3) Royal North Shore Hospital, St Leonards, NSW, Australia (4) MD Anderson Cancer Center, Houston, TX |
| TH-D-SAN1-3 | Real-Time ART K Brock1*, C Glide-Hurst2*, J Booth3*, C Fuller4*, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Henry Ford Health System, Detroit, MI, (3) Royal North Shore Hospital, St Leonards, NSW, Australia (4) MD Anderson Cancer Center, Houston, TX |
| TH-D-SAN1-4 | Implementing ART to Improve Patient Outcomes K Brock1*, C Glide-Hurst2*, J Booth3*, C Fuller4*, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Henry Ford Health System, Detroit, MI, (3) Royal North Shore Hospital, St Leonards, NSW, Australia (4) MD Anderson Cancer Center, Houston, TX |
| TU-C-PinS-5 | Evaluation of the Rotational Alignment Accuracy and Error Using 3D/3D, 2D/3D and 3D Surface Registration H Kuo*, A Ballangrud , G Li , D Lovelock , B Wolthuis , C Della-Biancia , S Berry , M Hunt , Memorial Sloan Kettering Cancer Center, New York, NY |
| TU-C1000-GePD-F5-6 | Uncertainties of Bladder Cancer Radiation Treatment with CT-On-Rails Localization T Lin*, C Ma , Fox Chase Cancer Center, Philadelphia, PA |
| TU-C1030-GePD-F9-1 | A Statistically Characterized Reference Data Set for Image Registration of Pelvis Using Combinatorial Affine Registration Optimization A Yorke1*, I Sala2 , D Solis3 , T Guerrero4 , (1) William Beaumont Hospital, Royal Oak, MI, (2) Beaumont Hospital, Royal Oak, MI, (3) William Beaumont Hospital, Warren, MI, (4) ,Royal Oak, MI |
| TU-F115-GePD-F5-2 | Commissioning Varians SmartAdapt for Clinical Applications in Adaptive Radiation Therapy J Vickress1,2*, H Afsharpour1 , A Rangel1 , (1) Carlo Fidani Peel Regional Cancer Centre, Trillium Health Partners, Mississauga, ON, (2) Department of Radiation Oncology, University of Toronto, Toronto, CA |
| TU-F115-GePD-F5-6 | Impact of Image Registration Region/intensity Selection On H&N Patient Daily Setup / Dose Delivery Accuracy M Su, V Osborn, S Sura , Icahn School of Medicine at Mount Sinai, Elmhurst, NY |
| TU-J345-GePD-F6-1 | Correlation of Deformation Vector Field Error and Contour-Based Metrics in Unimodal Deformable Image Registration L Shi1*, S Barley2 , S Benedict3 , J Qiu1 , Y Rong3 , (1) Taishan Medical University, Taian, ,(2) Oncology Systems Limited (OSL), Shrewsbury, ,(3) UC Davis Cancer Center, Sacramento, CA |
| TU-J345-GePD-F6-2 | Head and Neck MR-CT Registration Using Deep Learning Derived Synthetic CT E McKenzie1*, D Ruan1 , D O'Connor2 , M Cao1 , A Santhanam1 , K Sheng1 , (1) UCLA, Los Angeles, CA, (2) University of San Francisco, San Francisco |
| TU-J345-GePD-F6-3 | Independent Validation of Deformable Image Registration for MR-Guided Adaptive Radiotherapy for Head and Neck Cancers B McDonald1*, A Ohrt2 , S Vedam3 , B Elgohari4 , J Yang5 , J Wang6 , C Fuller7 , K Brock8 , (1) ,Houston, TX, (2) ,Houston, TX, (3) UT MD Anderson Cancer Center, Houston, TX, (4) UT MD Anderson Cancer Center, Houston, TX, (5) MD Anderson Cancer Center, Houston, TX, (6) MD Anderson Cancer Center, Houston, TX, (7) MD Anderson Cancer Center, Houston, TX, (8) UT MD Anderson Cancer Center, Houston, TX |
| TU-J345-GePD-F6-4 | New Approach for Automatic and Patient-Specific Evaluation of Multi-Modality Deformable Image Registration Accuracy as Tested On Halcyon's Megavoltage Cone Beam CT System Y Huang*, Y Zhang** , Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142 **Corresponding Author:Y Zhang email:zhangyibao@pku.edu.cn |
| TU-J345-GePD-F6-5 | Validation of Planning CT to CBCT Deformable Image Registration-Based Dose Calculation for Prostate Cancer Adaptive Radiotherapy X Zhang*, West China hospital of Sichuan university, Chengdu, Sichuan |
| TU-J345-GePD-F7-3 | A Controlled Study of Dose Accumulation in Intensity-Modulated Radiotherapy for Non-Small Cell Lung Cancer Based On Rigid Registration and Deformable Registration J Ren*, G Gong , Y Yin , Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China; H Quan , School of Physics and Technology, Wuhan University, Wuhan, China |
| WE-C1000-GePD-F5-1 | A Feasibility Study of Adaptive Radiotherapy Based On Varian Halcyon and Velocity Systems: Patient-Specific Dosimetric Indicators of Optimal Replanning Frequency and Timing Y Huang , Y Zhang*, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142 *Corresponding Author: Y Zhang email: zhangyibao@pku.edu.cn |
| WE-C930-GePD-F5-6 | Toward Predictive Dose Accumulation - Predicting Displacement Fields of Anatomical Change in Head-And-Neck Adaptive Radiotherapy Y Hu*, P Zhang , C Wang , J Mechalakos , G Mageras , N Lee , J Deasy , M Hunt , Memorial Sloan Kettering Cancer Center, New York, NY |
| WE-FG-304-9 | Improve Deformable Imaging Registration Accuracy Using Pulmonary Vascular Extraction for Lung CT Images D Yang*, Y Fu , X Wu , H Li , Washington University School of Medicine, St. Louis, MO |
