Sharpe Michael, Brock Kristy K
Radiation Medicine Program, Princess Margaret Hospital, University Health Network, and Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
Int J Radiat Oncol Biol Phys. 2008;71(1 Suppl):S33-7. doi: 10.1016/j.ijrobp.2007.06.087.
Radiotherapy relies on images to plan, guide, and assess treatment. Image registration, fusion, and segmentation are integral to these processes; specifically for aiding anatomic delineation, assessing organ motion, and aligning targets with treatment beams in image-guided radiation therapy (IGRT). Future developments in image registration will also improve estimations of the actual dose delivered and quantitative assessment in patient follow-up exams. This article summarizes common and emerging technologies and reviews the role of image registration, fusion, and segmentation in radiotherapy processes. The current quality assurance practices are summarized, and implications for clinical procedures are discussed.
放射治疗依赖图像来进行治疗计划、引导和评估。图像配准、融合和分割是这些过程不可或缺的部分；特别是在图像引导放射治疗（IGRT）中，有助于解剖结构描绘、评估器官运动以及使靶区与治疗束对齐。图像配准的未来发展也将改善对实际 delivered剂量的估计以及患者随访检查中的定量评估。本文总结了常见和新兴技术，并回顾了图像配准、融合和分割在放射治疗过程中的作用。总结了当前的质量保证实践，并讨论了对临床程序的影响。 （注：原文中“delivered”前似乎少了个单词，推测可能是“delivered dose”即“ delivered剂量” ，但由于不确定，译文保留了原文的样子。）
