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外照射放射治疗计划与实施中的磁共振图像引导

Magnetic resonance image guidance in external beam radiation therapy planning and delivery.

作者信息

Arivarasan Ilamurugu, Anuradha Chandrasekaran, Subramanian Shanmuga, Anantharaman Ayyalusamy, Ramasubramanian Velayudham

机构信息

Department of Radiation Oncology, Yashoda Cancer Institute, Yashoda Hospitals, Nalgonda X Roads, Hyderabad, 500036, India.

School of Advanced Sciences, VIT University, Vellore, India.

出版信息

Jpn J Radiol. 2017 Aug;35(8):417-426. doi: 10.1007/s11604-017-0656-5. Epub 2017 Jun 13.

Abstract

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.

摘要

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。

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