Deformable MR‐CBCT prostate registration using biomechanically constrained deep learning networks
Abstract
Background and purpose Radiotherapeutic dose escalation to dominant intraprostatic lesions (DIL) in prostate cancer could potentially improve tumor control. The purpose of this study was to develop a method to accurately register multiparametric magnetic resonance imaging (MRI) with CBCT images for improved DIL delineation, treatment planning, and dose monitoring in prostate radiotherapy. Methods and materials We proposed a novel registration...
Paper Details
Title
Deformable MR‐CBCT prostate registration using biomechanically constrained deep learning networks
Published Date
Nov 27, 2020
Journal
Volume
48
Issue
1
Pages
253 - 263
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Notes
History