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WE‐E‐351‐01: Multi‐Dimensional Visualization Challenges in 4‐Dimensional Radiotherapy
Author(s) -
Chen G
Publication year - 2008
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.2962789
Subject(s) - visualization , computer science , image registration , computer vision , rendering (computer graphics) , volume rendering , medical imaging , artificial intelligence , segmentation , computer graphics (images) , medical physics , image (mathematics) , medicine
4D CT is routinely used in radiation therapy planning of moving targets. Its current role is commonly limited to assessing the extent of target motion, and designing an aperture that encompasses this motion. However, much more information can be extracted from 4D imaging, if computational and visualization tools were available. Examples include: 1) regional ventilation analysis in lung irradiation; 2) analysis of serial 4D CT to quantify tumor trajectory variations 3) identification of corresponding airway bifurcations to provide validation of deformable registration algorithms 4) interactive 4D volume rendering to permit visualization of structures within the radiation field. While the core tools of image processing remain the same (segmentation, image registration, change detection, visualization), extrapolation to 4D requires new and powerful implementations.