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Autosegmentation of cardiac substructures in respiratory-gated, non-contrasted computed tomography images
Author(s) -
Mark Farrugia,
Han Yu,
Anurag Singh,
H Malhotra
Publication year - 2021
Publication title -
world journal of clinical oncology
Language(s) - English
Resource type - Journals
ISSN - 2218-4333
DOI - 10.5306/wjco.v12.i2.95
Subject(s) - medicine , computed tomography , radiology , radiation therapy , nuclear medicine
Radiation dose to specific cardiac substructures can have a significant on treatment related morbidity and mortality, yet definition of these structures is labor intensive and not standard. Autosegmentation software may potentially address these issues, however it is unclear whether this approach can be broadly applied across different treatment planning conditions. We investigated the feasibility of autosegmentation of the cardiac substructures in four-dimensional (4D) computed tomography (CT), respiratory-gated, non-contrasted imaging.

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