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Keywords: Motion Artifacts
MO-IePD-TRACK 3-5Physics-Based Motion Artifact Simulation in CT/CBCT Images Using 4DCT Phases
S Alam1*, T Li1, S Zhang2, P Zhang1, S Nadeem1, (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) Peking University Cancer Hospital & Institute
MO-IePD-TRACK 4-5Training 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)
PO-GePV-M-65A First In-Phantom Quantitative Concept Validation for a Prospective Respiratory Signal-Guided 4D CT Protocol
A Boschini1*, M Fusella2, S Sapignoli2, M Paiusco2, (1) AULSS2 Marca Trevigiana, Treviso, IT, (2) Istituto Oncologico Veneto, Padua ,IT
PO-GePV-M-69Adaptive Radiation Therapy with Deformable Image Registration and 4D Dose Calculation
I Ali1*, N Alsbou2, S Ahmad1, (1) University of Oklahoma Health Sciences Center, Oklahoma City, OK, (2) Department of Engineering and Physics, University of Central Oklahoma, Edmond, OK,
SU-B-TRACK 6-5Mapping 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
TU-A-TRACK 2-4Dual-Energy Reduces Severity of Motion Artifacts in Free-Breathing 2D Pulmonary Angiography
E Nikolau1*, M Wagner1, S Schafer2, T Hacker1, E Temme1, P Laeseke1, M Speidel1, (1) University of Wisconsin-Madison, Madison, WI, (2) Siemens Healthineers, Malvern, PA
TU-C-TRACK 3-3A Method for 4D Cone-Beam CT in Under 20 Seconds with New Generation Linacs
S Blake*, O Dillon, R O'Brien, ACRF Image-X Institute, University of Sydney, Sydney, NSW, AU
TU-C-TRACK 3-7Reference-Free, Learning-Based Rigid Motion Compensation in Cone-Beam CT for Interventional Neuroradiology
H Huang1*, J Siewerdsen1,2, W Zbijewski1, C Weiss2, T Ehtiati3, A Sisniega1, (1) The Johns Hopkins University, Baltimore, MD (2) Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, MD (3) Siemens Healthineers, Forchheim, Germany
TU-IePD-TRACK 1-3Development and Characterization of a Dynamic, Anatomically Realistic, Abdominal Phantom for Simulating Complex Deformable Motion in Cone-Beam CT
Y Liu1*, H Huang1, J Siewerdsen1, W Zbijewski1, C Weiss1, T Ehtiati2, A Sisniega1, (1) Johns Hopkins University, Baltimore, MD, (2) Siemens Medical Solutions USA
WE-IePD-TRACK 1-4Gas Bubble Motion Artifact Reduction Through Simultaneous Motion Estimation and Image Reconstruction
K Wang*, H Shao, Y Zhang, J Wang, UT Southwestern Medical Center, Dallas, TX
WE-IePD-TRACK 1-6Reducing Scan Time and Dose: Motion Compensated Reconstruction for Adaptive 4DCBCT
B Lau1*, O Dillon1, T Reynolds1, P Keall1, J Sonke2, S Vinod3,4, R O'Brien1, (1) ACRF Image X Institute, University of Sydney, Sydney, NSW, AU, (2) Netherlands Cancer Institute, Amsterdam, (3) University Of New South Wales, Sydney, NSW, AU, (4) Liverpool Hospital Sydney, Sydney, NSW, AU