Abstract：
MRI-guided radiotherapy (MRIgRT) is a highly complex treatment modality, allowing adaptation to anatomical changes occurring from one treatment day to the other (inter-fractional), but also to motion occurring during a treatment fraction (intra-fractional). In this vision paper, we describe the different steps of intra-fractional motion management during MRIgRT, from imaging to beam adaptation, and the solutions currently available both clinically and at a research level. Furthermore, considering the latest developments in the literature, a workflow is foreseen in which motion-induced over- and/or under-dosage is compensated in 3D, with minimal impact to the radiotherapy treatment time. Considering the time constraints of real-time adaptation, a particular focus is put on artificial intelligence (AI) solutions as a fast and accurate alternative to conventional algorithms.
摘要：
MRI引导放射治疗（MRIgRT）是一种高度复杂的治疗方式，允许适应从一个治疗日到另一个治疗日（分数间）发生的解剖学变化，而且还涉及在治疗部分（部分内）期间发生的运动。在这份愿景文件中，我们描述了在MRIgRT期间分数内运动管理的不同步骤，从成像到波束适应，以及目前在临床和研究水平上可用的解决方案。此外，考虑到文献的最新发展，预见了一个工作流程，其中运动引起的过量和/或剂量不足在3D中得到补偿，对放射治疗时间影响最小。考虑到实时自适应的时间限制,特别关注人工智能（AI）解决方案，作为传统算法的快速准确替代方案。
