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Title: Multi-parametric MRI for radiotherapy simulation
Authors: Li, T 
Wang, J
Yang, Y
GlideHurst, CK
Wen, N
Cai, J 
Issue Date: Aug-2023
Source: Medical physics, Aug. 2023, v. 50, no. 8, p. 5273-5293
Abstract: Magnetic resonance imaging (MRI) has become an important imaging modality in the field of radiotherapy (RT) in the past decade, especially with the development of various novel MRI and image-guidance techniques. In this review article, we will describe recent developments and discuss the applications of multi-parametric MRI (mpMRI) in RT simulation. In this review, mpMRI refers to a general and loose definition which includes various multi-contrast MRI techniques. Specifically, we will focus on the implementation, challenges, and future directions of mpMRI techniques for RT simulation.
Keywords: Artificial intelligence
Machine learning
MpMRI
MRI simulation
MRI-guided radiotherapy
MRI-linac
Multi-parametric MRI
Publisher: Wiley-Blackwell Publishing, Inc.
Journal: Medical physics 
ISSN: 0094-2405
EISSN: 2473-4209
DOI: 10.1002/mp.16256
Rights: © 2023 American Association of Physicists in Medicine.
This is the peer reviewed version of the following article: Li T, Wang J, Yang Y, Glide-Hurst CK, Wen N, Cai J. Multi-parametric MRI for radiotherapy simulation. Med Phys. 2023; 50: 5273–5293, which has been published in final form at https://doi.org/10.1002/mp.16256. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
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