Deep learning in MRI-guided radiation therapy: A systematic review

J Appl Clin Med Phys. 2023 Sep 15:e14155. doi: 10.1002/acm2.14155. Online ahead of print.ABSTRACTRecent advances in MRI-guided radiation therapy (MRgRT) and deep learning techniques encourage fully adaptive radiation therapy (ART), real-time MRI monitoring, and the MRI-only treatment planning workflow. Given the rapid growth and emergence of new state-of-the-art methods in these fields, we systematically review 197 studies written on or before December 31, 2022, and categorize the studies into the areas of image segmentation, image synthesis, radiomics, and real time MRI. Building from the underlying deep learning methods, we discuss their clinical importance and current challenges in facilitating small tumor segmentation, accurate x-ray attenuation information from MRI, tumor characterization and prognosis, and tumor motion tracking. In particular, we highlight the recent trends in deep learning such as the emergence of multi-modal, visual transformer, and diffusion models.PMID:37712893 | DOI:10.1002/acm2.14155

Source: Journal of Applied Clinical Medical Physics - September 15, 2023 Category: Physics Authors: Zach Eidex Yifu Ding Jing Wang Elham Abouei Richard L J Qiu Tian Liu Tonghe Wang Xiaofeng Yang Source Type: research