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TU‐C‐500‐01: Evaluating Benefits and Challenges of Multi‐Modality Co‐Registration
Author(s) -
Benedict S,
Vedam S,
Cai J,
Wijesooriya K,
Murphy M
Publication year - 2013
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 - 10.1118/1.4815362
Subject(s) - modality (human–computer interaction) , modalities , image registration , computer science , medical imaging , medical physics , radiation treatment planning , computer vision , artificial intelligence , radiology , medicine , image (mathematics) , radiation therapy , social science , sociology
Multi‐imaging modalities has afforded tremendous treatment planning opportunities to better define and delineate tumor volumes, and effectively apply highly conformal targeted therapy techniques such as IMRT and SBRT. With 4D CT imaging providing motion specifc information, PET yielding tumor molecular physiologic imaging, and MRI enhanced soft tissue diffentiation, these multi‐imaging modalities can introduce a comprehensive image of the planned target volumes. However, each of these technological innovations come with limitations specific to each image acquisition modality, and importing these various imaging studies into the planning system requires the employment of image registration tools, and in some case non‐rigid, deformation image registration, in order to successfully delineate tumor and target volumes for planning. This session will present strategies for management of tumor delineation using multi imaging modalities safely and effectively, including an overview of the benefits and pitfalls of tumor volume delineation using 4D CT, PET, MRI, and the various tools of deformation image registration.