Comparison and evaluation of different deep learning models of synthetic CT generation from CBCT for nasopharynx cancer adaptive proton therapy
Bo Pang,
Hang Si,
Muyu Liu
et al.
Abstract:BackgroundCone‐beam computed tomography (CBCT) scanning is used for patient setup in image‐guided radiotherapy. However, its inaccurate CT numbers limit its applicability in dose calculation and treatment planning.PurposeThis study compares four deep learning methods for generating synthetic CT (sCT) to determine which method is more appropriate and offers potential for further clinical exploration in adaptive proton therapy for nasopharynx cancer.MethodsCBCTs and deformed planning CT (dCT) from 75 patients (6… Show more
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.