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Multi-parametric MRI for radiotherapy simulation.
Li, Tian; Wang, Jihong; Yang, Yingli; Glide-Hurst, Carri K; Wen, Ning; Cai, Jing.
Afiliação
  • Li T; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
  • Wang J; Department of Radiation Physics, Division of Radiation Oncology, MD Anderson Cancer Center, Houston, Texas, USA.
  • Yang Y; Department of Radiology, Ruijin Hospital, Shanghai Jiaotong Univeristy School of Medicine, Shanghai, China.
  • Glide-Hurst CK; SJTU-Ruijing-UIH Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Wen N; Department of Radiation Oncology, University of Wisconsin, Madison, Wisconsin, USA.
  • Cai J; Department of Radiology, Ruijin Hospital, Shanghai Jiaotong Univeristy School of Medicine, Shanghai, China.
Med Phys ; 50(8): 5273-5293, 2023 Aug.
Article em En | MEDLINE | ID: mdl-36710376
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radioterapia / Imageamento por Ressonância Magnética Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radioterapia / Imageamento por Ressonância Magnética Idioma: En Ano de publicação: 2023 Tipo de documento: Article