Magnetic resonance image guided radiation therapy (MRIgRT) is a relatively new technology that has already shown outcomes benefits but that has not yet reached its clinical potential. The improved soft-tissue contrast provided with MR, coupled with the immediacy of image acquisition with respect to the treatment, enables expansion of on-table adaptive protocols, currently at a cost of increased treatment complexity, use of human resources, and longer treatment slot times, which translate to decreased throughput. Many approaches are being investigated to meet these challenges, including the development of artificial intelligence (AI) algorithms to accelerate and automate much of the workflow and improved technology that parallelizes workflow tasks, as well as improvements in image acquisition speed and quality. This article summarizes limitations of current available integrated MRIgRT systems and gives an outlook about scientific developments to further expand the use of MRIgRT.

磁共振图像引导放射治疗 (MRIgRT) 是一项相对较新的技术，已显示出疗效优势，但尚未发挥其临床潜力。 MR 提供的软组织对比度得到改善，再加上治疗图像采集的即时性，可以扩展桌上自适应协议，但目前的代价是增加治疗复杂性、占用人力资源和更长的治疗时间次，这会导致吞吐量下降。人们正在研究许多方法来应对这些挑战，包括开发人工智能（AI）算法来加速和自动化大部分工作流程，改进并行工作流程任务的技术，以及提高图像采集速度和质量。本文总结了当前可用的集成 MRIgRT 系统的局限性，并对进一步扩大 MRIgRT 使用的科学发展进行了展望。