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arXiv · 2303.11378

Deep Learning in MRI-guided Radiation Therapy: A Systematic Review

Zach Eidex·Yifu Ding·Jing Wang·Elham Abouei·Richard L. J. Qiu·Tian Liu·Tonghe Wang·Xiaofeng Yang
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Abstract

MRI-guided radiation therapy (MRgRT) offers a precise and adaptive approach to treatment planning. Deep learning applications which augment the capabilities of MRgRT are systematically reviewed. MRI-guided radiation therapy offers a precise, adaptive approach to treatment planning. Deep learning applications which augment the capabilities of MRgRT are systematically reviewed with emphasis placed on underlying methods. Studies are further categorized into the areas of segmentation, synthesis, radiomics, and real time MRI. Finally, clinical implications, current challenges, and future directions are discussed.

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Zach Eidex, Yifu Ding, Jing Wang, Elham Abouei, Richard L. J. Qiu, Tian Liu, Tonghe Wang, Xiaofeng Yang. 2023-03-20. Deep Learning in MRI-guided Radiation Therapy: A Systematic Review. https://arxiv.org/abs/2303.11378

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