Abstract：
Radiation therapy (RT) is a highly digitized field relying heavily on computational methods and, as such, has a high affinity for the automation potential afforded by modern artificial intelligence (AI). This is particularly relevant where imaging is concerned and is especially so during image-guided RT (IGRT). With the advent of online adaptive RT (ART) workflows at magnetic resonance (MR) linear accelerators (linacs) and at cone-beam computed tomography (CBCT) linacs, the need for automation is further increased. AI as applied to modern IGRT is thus one area of RT where we can expect important developments in the near future. In this review article, after outlining modern IGRT and online ART workflows, we cover the role of AI in CBCT and MRI correction for dose calculation, auto-segmentation on IGRT imaging, motion management, and response assessment based on in-room imaging.
摘要：
放射治疗(RT)是一个高度数字化的领域，严重依赖计算方法，因此，对现代人工智能(AI)提供的自动化潜力有很高的亲和力。这在涉及成像的情况下尤其相关,并且在图像引导RT(IGRT)期间尤其如此。随着磁共振（MR）线性加速器（直线加速器）和锥形束计算机断层扫描（CBCT）直线加速器的在线自适应RT（ART）工作流程的出现，自动化的需求进一步增加。因此，应用于现代IGRT的AI是RT的一个领域，我们可以在不久的将来期待重要的发展。在这篇评论文章中，在概述了现代IGRT和在线ART工作流程之后，我们涵盖了AI在CBCT和MRI校正剂量计算中的作用，IGRT成像的自动分割，运动管理,和基于室内成像的反应评估。
