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Keywords: registration
| MO-IePD-TRACK 1-2 | Quantitative Evaluation of Intra- and Inter-Modal Deformable Image Registration of CT and MR Images for Heart, Left-Ventricle and Thoracic Aorta A Omidi1*, E Weiss2, J Wilson1,3, M Rosu-Bubulac2, (1) Biomedical Engineering Department, Virginia Commonwealth University, Richmond, VA, (2) Radiation Oncology Department, Virginia Commonwealth University, Richmond, VA, (3) Pauley Heart Center, School of Medicine, Virginia Commonwealth University, Richmond, VA |
| MO-IePD-TRACK 3-1 | Comparison of CT-Guided and MR-Guided Adaptive Radiotherapy for Intramuscular Metastasis S Prajapati1*, Y Zhao1,2, C Tang1, Z Yu1, B Lee1, P Castillo1, A Sobremonte1, R Kudchadker1, J Yang1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) UT MD Anderson UTHealth Graduate School of Biomedical Sciences, Houston, TX |
| MO-IePD-TRACK 4-5 | Training An Unsupervised Deformable Image Registration Model with Thoracic Fast, Low-Dose Helical CT Acquisitions R Savjani1,3*, P Paysan2, D O'Connell1, J van Heteren3, S Scheib2, D Low1, (1) University of California Los Angeles, Los Angeles, CA (2) Varian Medical Systems Imaging Laboratory, Baden - Daettwil, CH (2) Varian Medical Systems Imaging Laboratory, Baden - Palo Alto, CA (3) |
| MO-IePD-TRACK 4-6 | Using Automatic Segmentation to Improve Deformable Image Registration K Shah1*, J Shackleford1, N Kandasamy1, G Sharp2, (1) Drexel University, Philadelphia, PA, (2) Massachusetts General Hospital, Boston, MA |
| MO-IePD-TRACK 4-7 | Using Neural Networks to Extend Cropped Medical Images for Deformable Registration Among Images with Differing Scan Extents E McKenzie1*, N Tong2, D Ruan1, M Cao1, R Chin1, K Sheng1, (1) UCLA, Los Angeles, CA, (2) Xidian University, Xi'an CN |
| PO-GePV-M-51 | A Multichannel Feature-Based Approach for Longitudinal Lung CT Registration in the Presence of Radiation Induced Lung Damage A Stavropoulou1*, A Szmul1, E Chandy1,2, C Veiga1, D Landau2,3, J McClelland1, (1) University College London, UK, (2) University College Hospital London, UK, (3) Guys & St Thomas NHS Foundation Trust, UK |
| PO-GePV-M-112 | Evaluation of Larynx Displacements in Pre-Treatment CBCT Scans for a Population of Laryngeal Cancer Patients A Antolak*, T Gray, N Woody, S Koyfman, P Xia, The Cleveland Clinic Foundation, Cleveland, OH |
| PO-GePV-M-118 | Quantitative 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-129 | Estimating Inconsistency in Deformable Image Registration-Based Dose Accumulation K Kainz*, J Garcia Alvarez, H Zhong, A Tai, E Ahunbay, C Lawton, X Li, Medical College of Wisconsin, Milwaukee, WI |
| PO-GePV-M-130 | Accuracy of Pelvic CT-MR Deformable Image Registration: Comparison of Open-Source and Commercial Software T Ishida*, N Kadoya, S Tanabe, H Ohashi, H Nemoto, S Dobashi, K Takeda, K Jingu, Tohoku University, Sendai, JP, |
| PO-GePV-M-131 | Estimation of Uncertainty in Deformable Image Registration Based Daily Dose Accumulation for Head and Neck Cancer J Garcia Alvarez*, K Kainz, H Zhong, C Schultz, X Li, Medical College of Wisconsin, Milwaukee, WI |
| PO-GePV-M-132 | Improving Deformable Image Registration with Three Metrics for Postoperative Radiotherapy of Breast Cancer Patients X Xie*, H Yan, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China |
| PO-GePV-M-134 | Evaluation 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-135 | Evaluation 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-M-139 | Multimodality Image Registration for Application in Brachytherapy Based On Automated Organ Segmentation K Qing1*, X Feng2,3, S Glaser1, W Watkins1, D Du1, Y Chen1, C Han1, J Liang1, J Liu1, B Liu3, Q Chen3,4, A Liu1, (1) City of Hope National Medical Center, Duarte, CA, (2) University of Virginia, Charlottesville, VA, (3) Carina Medical, Lexington, KY , (4) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (5) University of Kentucky, Lexington, KY |
| PO-GePV-M-140 | A Study of 2D/3D with 3D/3D Registration Using KV/kV, KV/2.5X/6X S Lin1*, D Lovelock2, S Lim2, J Sillanpaa2, D Wang2, C Della-Biancia2, S Berry2, D Shasha1,2, H Kuo1,2, (1) Norwalk Hospital, Norwalk, CT, (2) Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-M-145 | A Method to Consider Dose Distribution and Dose Gradient in Evaluating Image Registration for Dose Accumulation X Wu*, J Williamson, H Gach, H Li, D Yang, Washington University in St. Louis, St. Louis, MO |
| PO-GePV-M-250 | Efficient and Stable Evaluation of Image Registration Using Deep Learning B Yang*, X Chen, J Zhu, K Men, J Dai, Cancer hospital Chinese academy of medical sciences, Beijing, 11CN, |
| SU-B-TRACK 6-5 | Mapping Motion-Induced Dose Variations On Bladder Surfaces: A Novel Surface-Based Dose Modeling for Accurate Dose Assessment in Fractionated Prostate Cancer Radiotherapy Y Lao1*, M Cao1, Y Yang1, A Kishan1, W Yang2, Y Wang3, K Sheng1, (1) UCLA School of Medicine, Los Angeles, CA, (2) University of Southern California, Los Angeles, CA, (3) ASU,Temple,Arizona |
| SU-C-TRACK 4-0 | Novel Imaging Technologies for Motion Management in Radiotherapy W Yang1*, L Ren2*, T Pan3*, (1) Keck School of Medicine of USC, Los Angeles, CA, (2) University of Maryland, Baltimore, MD, (3) UT MD Anderson Cancer Center, Houston, TX |
| SU-F-TRACK 3-2 | Histological Validation of Anatomical Imaging for Breast Modeling A Sen*, C Kingsley, A Kulp, M McCulloch, B Willis, K Brewer Savannah, A Contreras, M Bordes, T Huynh, N Fowlkes, G Reece, K Brock, UT MD Anderson Cancer Center, Houston, TX |
| SU-IePD-TRACK 1-3 | Efficient Visualisation of Changes in CBCT During Radiotherapy to Detect Lung Infections M van Herk1*, G Price2, A Clough2, J Sanders2, C Faivre-finn1,2, C Eccles2, M Aznar1, (1) The University of Manchester, Manchester, GB, (2) The Christie Hospital NHS Foundation Trust, Manchester, GB |
| TH-E-TRACK 4-4 | Scale-Adaptive Convolutional Neural Network for Deformable Image Registration of Lung 4DCT Y Sang*, D Ruan, Department of Radiation Oncology and Department of Bioengineering, University of California, Los Angeles, CA |
| TH-F-TRACK 5-1 | A Development of An In-House Software for Motion Monitoring During the Stereotactic Paraspinal Treatment Q Fan*, H Pham, P Zhang, X Li, T Li, Memorial Sloan Kettering Cancer Center, New York, NY |
| TH-F-TRACK 6-3 | Stereotactic Arrhythmia Radioablation for Treating Refractory Ventricular Tachycardia S Oh1*, E Liu2, M Trombetta1, G Shaw2, A Thosani2, J Sohn1, (1) Division of Radiation Oncology, Cancer Institute, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania (2) Division of Cardiac Electrophysiology, Cardiovascular Institute, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania |
| TH-IePD-TRACK 3-4 | Segmentation by Individualized Registration (SIR) for CBCT-Based Adaptive Radiation Therapy X Liang1*, J Chun2, H Morgan1, T Bai1, D Nguyen1, J Park1, S Jiang1, (1) Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, (2) Department of Radiation Oncology, Yonsei University, Seoul, KR |
| TU-A-TRACK 2-1 | BEST IN PHYSICS (IMAGING): 3D Assessment of Complex Spine Deformity Using Linear Tomosynthesis and Statistical Shape Model Registration C Zhao1*, M Herbst2, T Weber2, S Vogt2, L Ritschl2, S Kappler2, A Margalit1, A Jain1, J Siewerdsen1, W Zbijewski1, (1) Johns Hopkins University, Baltimore, MD, (2) Siemens Healthineers, Forchheim, Germany |
| TU-A-TRACK 6-2 | From Person-Specific to Population-Based Colorectal Models: An Age-Scalable Computational Anatomical Colorectal Model for Radiation Dosimetry in Late Effects Studies of Childhood Cancer Survivors C Owens1,2*, B Rigaud1, E Ludmir1, A Gupta1,2, S Shrestha1,2, A Paulino1, C Peterson1,2, S Kry1,2, S Smith1, K Brock1,2, R Howell1,2, (1) The University of Texas MD Anderson Cancer Center, Houston, TX, USA, (2) The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX, USA |
| TU-EF-TRACK 4-9 | Thoracic 4D Cone-Beam CT Registration Incorporating a Fan-Beam CT-Derived Feasible Motion Descriptor Y Sang*, D Ruan, Department of Radiation Oncology and Department of Bioengineering, University of California, Los Angeles, CA |
| 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-IePD-TRACK 1-2 | Automatic Spatial Registration System for Whole-Breast Three-Dimensional Ultrasound C Park1,2*, S Papernick1,2, N Orlando1,2, M Jonnalagadda1, J Bax2, L Gardi2, K Barker2, D Tessier2, A Fenster1,2, (1) Western University, London, ON, Canada (2) Robarts Research Institute, London, ON, Canada |
| WE-IePD-TRACK 1-5 | MR to Ultrasound Image Registration with Segmentation-Based Learning for HDR Prostate Brachytherapy Y Chen*, L Xing, L Yu, W Liu, B Fahimian, T Niedermayr, H Bagshaw, M Buyyounouski, B Han, Stanford University, Palo Alto, CA |