Multi-parametric MRI for radiotherapy simulation

Tian Li, Jihong Wang, Yingli Yang, Carri K. Glide-Hurst, Ning Wen, Jing Cai

Research output: Journal article publicationReview articleAcademic researchpeer-review

5 Citations (Scopus)

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.

Original languageEnglish
JournalMedical Physics
DOIs
Publication statusAccepted/In press - 2023

Keywords

  • artificial intelligence
  • machine learning
  • mpMRI
  • MRI simulation
  • MRI-guided radiotherapy
  • MRI-linac
  • multi-parametric MRI

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

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