Deep learning-based prediction of deliverable adaptive plans for MR-guided adaptive radiotherapy: A feasibility study

Deep learning-based prediction of deliverable adaptive plans for MR-guided adaptive radiotherapy: A feasibility study

PurposeFast and automated plan generation is desirable in radiation therapy (RT), in particular, for MR-guided online adaptive RT (MRgOART) or real-time (intrafractional) adaptive RT (MRgRART), to reduce replanning time. The purpose of this study is to investigate the feasibility of using deep learn...

Full description

Bibliographic Details
Main Authors: Laura Buchanan, Saleh Hamdan, Ying Zhang, Xinfeng Chen, X. Allen Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Oncology
Subjects:
adaptive radiation therapy
MR-guided adaptive radiation therapy
online replanning
real-time adaptation
deep-learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.939951/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.939951/full

Similar Items