Synthetic CT generation for MRI-guided adaptive radiotherapy in prostate cancer

Synthetic CT generation for MRI-guided adaptive radiotherapy in prostate cancer

Current MRI-guided adaptive radiotherapy (MRgART) workflows require fraction-specific electron and/or mass density maps, which are created by deformable image registration (DIR) between the simulation CT images and daily MR images. Manual density overrides may also be needed where DIR-produced resul...

Full description

Bibliographic Details
Main Authors: Shu-Hui Hsu, Zhaohui Han, Jonathan E. Leeman, Yue-Houng Hu, Raymond H. Mak, Atchar Sudhyadhom
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Oncology
Subjects:
MRI-guided therapy
adaptive radiotherapy
synthetic CT
deep learning
prostate radiotherapy
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.969463/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.969463/full

Similar Items