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Deformable MR-CBCT prostate registration using biomechanically constrained deep learning networks.

Yabo Fu1, Tonghe Wang1,2, Yang Lei1

  • 1Department of Radiation Oncology, Emory University, Atlanta, GA, USA.

Medical Physics
|November 9, 2020
PubMed
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This study introduces a novel framework for accurately registering prostate magnetic resonance imaging (MRI) with cone-beam computed tomography (CBCT) images. This method improves prostate cancer radiotherapy by enhancing dominant intraprostatic lesion delineation and dose monitoring.

Failed At:

2026-06-19T13:48:08.739568+00:00

Keywords:
MR-CBCTdeep learningfinite element analysisimage registration

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