Deep Learning-Based Cardiac Chamber Segmentation in Magnetic Resonance-Guided Adaptive Radiation Therapy

Deep Learning-Based Cardiac Chamber Segmentation in Magnetic Resonance-Guided Adaptive Radiation Therapy

Purpose: Accurate cardiac chamber segmentation is crucial for improving cardiac sparing in magnetic resonance (MR)-guided adaptive radiation therapy, especially in patients at risk for radiation-induced cardiotoxicity. Here, we developed and evaluated automatic segmentation models for cardiac chambe...

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Main Authors: Xinru Chen, PhD, Yao Ding, PhD, Julius Weng, MD, Carol C. Wu, MD, Yao Zhao, PhD, Angela Sobremonte, BS, Mustefa Mohammedsaid, MS, Zhan Xu, PhD, Xiaodong Zhang, PhD, Joshua S. Niedzielski, PhD, Sanjay S. Shete, PhD, Laurence E. Court, PhD, Zhongxing Liao, MD, Jihong Wang, PhD, Ergys Subashi, PhD, Percy P. Lee, MD, Jinzhong Yang, PhD
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Advances in Radiation Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S2452109425001320
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