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Taxonomy: IM- CT: Registration
| BReP-SNAP-M-56 | Detection of Vessel Bifurcations in 3D Images for Automatic Objective Assessment of Deformable Image Registration Accuracy G Cazoulat*, B Anderson, M McCulloch, D Elganainy, M Zaid, P Park, E Koay, K Brock, The University of Texas MD Anderson Cancer Center, Houston, TX |
| BReP-SNAP-M-102 | Moving From Geometric-Based to Risk-Based Adaptive Re-Planning in Head and Neck Radiotherapy K Brock1*, S Gryshkevych2, B Rigaud1, A Ohrt1, S Svensson2, C Fuller1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) RaySearch Laboratories AB, Stockholm,SE |
| MO-CD-TRACK 1-9 | Fiducial-Based Tracking of a Transthoracic Echocardiography Probe in X-Ray Fluoroscopy for X-Ray/echo Co-Registration L Bodart*, T Hall, J Le, B Ciske, A Raval, M Wagner, M Speidel, University of WI-Madison, Madison, WI |
| PO-GeP-I-30 | An Approach for Evaluating Image Registration and Dose Accumulation Errors Based On Dose Gradient X Wu*, J Ippolito, P Grigsby, H Gach, J Williamson, D Yang, Washington University in St. Louis, St. Louis, MO |
| PO-GeP-M-1 | 2D to 3D Line Pattern Match (3DLM) Scheme in 6D for Marker Based Image Guided Radiation Therapy H Kuo1*, D Lovelock2, A Damato3, M Zelefsky4, S Lin5, C Della-Biancia6, S Berry7, M Hunt8, (1) Memorial Sloan Kettering Cancer Ctr, Norwalk, CT, (2) Memorial Sloan-Kettering Cancer Ctr, New York, NY, (3) Memorial Sloan Kettering Cancer Ctr, New York, NY, (4) Memorial Sloan Kettering Cancer Ctr,New York City, ,(5) Norwalk Hospital, Norwalk, CT, (6) Memorial Sloan Kettering Cancer Ctr, New York, NY, (7) Memorial Sloan Kettering Cancer Ctr, New York, NY, (8) Mem Sloan-Kettering Cancer Ctr, New York, NY |
| PO-GeP-M-16 | A Framework to Evaluate Synthetic CTs Generated for First AI-Driven Online Adaptive Radiotherapy A Quinn*, J Kipritidis, D Jayamanne, J Booth, Royal North Shore Hospital, NSW, Australia |
| PO-GeP-M-26 | A Novel Method for Correcting CBCT Intensity Values and FOV Truncation S Holler*, C Guy, L Padilla, Virginia Commonwealth University, Richmond, VA |
| PO-GeP-M-27 | A Novel Method for Dose-Of-The-Day Calculation for HN S Holler*, C Guy, L Padilla, Virginia Commonwealth University, Richmond, VA |
| PO-GeP-M-35 | A Patient-Specific Model for Tracking Lung Tumor During Radiotherapy Using Surrogate Signal S Fakhraei*, D Sterling, E Ehler, P Alaei, University of Minnesota, Minneapolis, MN |
| PO-GeP-M-44 | Accuracy of the 3D Reference Coordinate Definition with G-Frame for Gamma Knife ICON L Claps*, D Mathew, Y Watanabe, University of Minnesota, Minneapolis, MN |
| PO-GeP-M-112 | Comparison of Contour-Based, Image-Based, and Contour-Image-Based Deformable Image Registration for Adaptive Re-Planning K Kainz*, H Zhong, A Tai, E Ahunbay, X Li, Medical College of Wisconsin, Milwaukee, WI |
| PO-GeP-M-113 | Comparison of CT-MR Image Registrations of BrainLab Elements MBM SRS and Varian Eclipse J Li*, Y Yu, H Liu, Thomas Jefferson University, Philadelphia, PA |
| PO-GeP-M-118 | Completely Automatic Deformable Image Registration Pipeline Using Automatically Derived Segmentations and Deformation Vector Fields E McKenzie1*, N Tong1, R Neph1, Y Jia2, D Ruan3, K Sheng3, (1) UCLA, Los Angeles, CA, (2) Shaanxi Key Laboratory of Network Data Intelligent Processing, Xi'an, Shaanxi, CN, (3) UCLA School of Medicine, Los Angeles |
| PO-GeP-M-141 | Deformable Image Registration of Diagnostical CT and Planning CT for Breast Conserving Radiotherapy X Xie*, H Yan, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, CN |
| PO-GeP-M-208 | Evaluation of Surface Registration Accuracy for Patient Positioning in Head and Neck Radiotherapy Using Normal Distribution Transform Algorithm S Fakhraei*, C Wilke, P Alaei, University of Minnesota, Minneapolis,MN |
| PO-GeP-M-211 | Evaluation of the Accuracy of Deformable Image Registration On the TomoTherapy Treatment Planning System Y Nakajima1,2*, R Suganami1, S Hashimoto1, H Ogawa1, N Kadoya2, K Karasawa1, (1) Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, JP (2) Tohoku University Graduate School of Medicine, Sendai, JP |
| PO-GeP-M-214 | Evaluation of the Relationship Between Positioning Accuracy and Scanning Volume Using Optical Surface Scanning System and Surface Image Features H Kojima1,4,*, A Takemura2, S Ueda1, K Noto1, H Yokoyama1,4, H Adachi1, S Takamatsu3, (1) Department of Radiology, Kanazawa University Hospital, Kanazawa, JP, (2) Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, JP, (3) Department of Radiation Therapy, Kanazawa University Hospital, Kanazawa, JP, (4) Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, JP |
| PO-GeP-M-240 | Impact of Changes in Body Shapes On Radiation Therapy Dose Distribution After Uterine Cervical Cancer Surgery M Sasaki1*, H Ikushima2, K Kitagawa3, Y Kano4, M Tominaga5, H Honda6, W Sugimoto7, M Oita8, (1) Institute of Biomedical Sciences, Tokushima University Graduate School,Tokushima, JP, (2) Institute of Biomedical Sciences, Tokushima University Graduate School,Tokushima, JP, (3)Graduate School of Health Sciences, Tokushima University,Tokushima,JP(4)Graduate School of Health Sciences, Tokushima University,Tokushima,JP(5) Institute of Biomedical Sciences, Tokushima University Graduate School,Tokushima, JP, (6) Ehime University Hospital, Ehime, JP, (7) Tokushima Prefectural Central Hospital, Tokushima, JP, (8) Okayama University Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama, 33, JP |
| PO-GeP-M-317 | Optimal Image Registration for Combining Dose Distributions From External Beam and Brachytherapy for Combined Modality Prostate Radiation Therapy A Cooney1,2*, S To1,2, B Lee1,3, M Lim1,3, AC Riegel1,2,3, (1) Department of Radiation Medicine, Northwell Health, New Hyde Park, NY, (2) Hofstra University, Hempstead, NY, (3) Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY |
| PO-GeP-M-321 | Out of Sample Performance of a Deep Learning Based Registration Quality Assurance Method X Zhou1*, S Galib2, H Lee2, G Hugo1, (1) Washington University in St. Louis, Saint Louis, MO, (2) Missouri University Of Science And Technology |
| PO-GeP-M-399 | The Impact of 5D Accumulated Dose On Toxicity Predictions Compared to Planned Dose for Non-Small Cell Lung Cancer Treated with IMRT and PSPT Y He*, U Titt, Z Liao, J Pollard-Larkin, P Balter, R Mohan, K Brock, UT MD Anderson Cancer Center, Houston, TX |
| PO-GeP-M-429 | Virtual Acquisition: Efficient, Accurate and Low-Dose KV-Projection Based Positioning H Yan1*, J Li1, Z Wang1, C Deng2, X Li2, C Ma3, J Li1, (1) Cyber Medical Research And Innovation Center, Our United Corporation,(2) Department Of Biomedical Engineering, Beijing Institute Of Technology,(3) Fox Chase Cancer Center, Philadelphia, PA, |
| PO-GeP-P-60 | Artifacts, Registration and Radiobiological Relevance in SRS Planning of Vestibular Schwannoma H Erra Sriramulu1*, (1) Kuwait Cancer Control Center, Kuwait, KW |
| PO-GeP-T-32 | A Method for the Daily Quality Assurance of a Six-Degree-Of-Freedom Treatment Table O Dona*, Y Wang, A Xu, C Wuu, Columbia University, New York, NY |
| PO-GeP-T-675 | Quantification of the Correlation Between Outcome with Dose Computed Using Rigid and Deformable Registration H Sharifi*, A Ghanem, Q Wu, I J Chetty, Henry Ford Health System, Detroit, MI |
| SU-F-TRACK 2-2 | Automatic On-Board Liver Tumor Localization by Cone-Beam Projections and a Deformation-Driven Technique (U-Net-Bio) Y Zhang*, J Wang, X Huang, Y Zhang, UT Southwestern Medical Center, Dallas, TX |
| SU-F-TRACK 2-3 | Cycle Consistent VoxelMorph-Based Deformable Image Registration (DIR) for Real Time Ultra-Quality 4D Image Synthesis H Xiao*, G Ren, J Zhang, X Teng, J Cai, Hong Kong Polytechnic University, Hong Kong, 91 |
| SU-F-TRACK 2-4 | Deformable Image Registration Using a Feasibility-Constrained Parametrization Learned with a Statistical Generative Model Y Sang1*, X Xing2, Y Wu1, D Ruan1, (1) University of California, Los Angeles, CA, (2) Harbin Engineering University, Heilongjiang, China |
| TH-AB-TRACK 4-4 | Deep-Learning Based Auto-Detection of Brain Metastases for Stereotactic Radiosurgery Z Tian*, S Kahn, W Curran, T Liu, X Yang, Winship Cancer Institution, Emory University, Atlanta, GA |
| TH-D-TRACK 5-2 | Estimating Target Registration Error for Automated Deformable Image Registration QA J Sage*, D Boukerroui, M Gooding, Mirada Medical, Denver, CO |
| TU-CD-TRACK 2-15 | Effect of Deformable PET/CT Image Registration Uncertainty On Intratumoral Dose Response Assessment S Chen*, A Qin, D Krauss, D Yan, William Beaumont Hospital, Royal Oak, MI |
| WE-B-TRACK 2-1 | A Dual-Energy Method for Automatic Verification of Patient Positioning in External Beam Radiotherapy M Jacobson1*, T Harris1, D Ferguson1, M Lehmann2, P Huber2, M Shi3, M Myronakis1, I Lozano1, P Baturin4, R Fueglistaller2, C Williams1, D Morf2, R Berbeco1 (1) Brigham and Women's Hospital, Dana-Farber Cancer Institute, and Harvard Medical School, Boston, MA (2) Varian Medical Systems, Baden-Dattwil, Switzerland (3) University of Massachusetts, Lowell, Lowell MA (4) Varian Medical Systems, Palo Alto, CA |