Arivarasan Ilamurugu, Anuradha Chandrasekaran, Subramanian Shanmuga, Anantharaman Ayyalusamy, Ramasubramanian Velayudham
Department of Radiation Oncology, Yashoda Cancer Institute, Yashoda Hospitals, Nalgonda X Roads, Hyderabad, 500036, India.
School of Advanced Sciences, VIT University, Vellore, India.
Jpn J Radiol. 2017 Aug;35(8):417-426. doi: 10.1007/s11604-017-0656-5. Epub 2017 Jun 13.
The use of magnetic resonance (MR) imaging in radiation oncology is improving dramatically. This review article discusses the necessity of image guidance and how MR finds a significant place in radiotherapy planning and delivery. The challenges to and current solutions for an in-house MR simulation, dedicated MR simulator, estimation of electron density using MR image sets and development of MR-compatible treatment planning systems are presented. This article also reviews the feasibility, advantages and limitations of MR image-guided radiation therapy (MR-IGRT) and its drive toward the integration of radiation beams with MR technology. Specifications of Co-60 MR technology and three other MR-linac projects worldwide are presented. Online and real-time MR guidance is also discussed.
磁共振（MR）成像在放射肿瘤学中的应用正在显著改善。这篇综述文章讨论了图像引导的必要性，以及MR在放射治疗计划和实施中如何占据重要地位。介绍了内部MR模拟、专用MR模拟器、使用MR图像集估计电子密度以及开发MR兼容治疗计划系统所面临的挑战和当前的解决方案。本文还综述了MR图像引导放射治疗（MR-IGRT）的可行性、优势和局限性，以及其将放射束与MR技术相结合的发展趋势。介绍了全球范围内的钴-60 MR技术规格和其他三个MR直线加速器项目。还讨论了在线和实时MR引导。
