Abdominal synthetic CT generation for MR-only radiotherapy using structure-conserving loss and transformer-based cycle-GAN

Abdominal synthetic CT generation for MR-only radiotherapy using structure-conserving loss and transformer-based cycle-GAN

PurposeRecent deep-learning based synthetic computed tomography (sCT) generation using magnetic resonance (MR) images have shown promising results. However, generating sCT for the abdominal region poses challenges due to the patient motion, including respiration and peristalsis. To address these cha...

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Bibliographic Details
Main Authors: Chanwoong Lee, Young Hun Yoon, Jiwon Sung, Jun Won Kim, Yeona Cho, Jihun Kim, Jaehee Chun, Jin Sung Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Oncology
Subjects:
MR-linac
abdominal synthetic CT
structure consistency loss
transformer
unsupervised learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1478148/full
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https://www.frontiersin.org/articles/10.3389/fonc.2024.1478148/full

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