Lando S. Bosma , Mohammad Hussein , Michael G. Jameson , Soban Asghar , Kristy K. Brock , Jamie R. McClelland , Sara Poeta , Johnson Yuen , Cornel Zachiu , Adam U. Yeo , the 2021 ESTRO Physics Workshop on Commissioning and Quality Assurance for Deformable Image Registration in Radiotherapy
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引用次数: 0
Abstract
Multiple tools are available for commissioning and quality assurance of deformable image registration (DIR), each with their own advantages and disadvantages in the context of radiotherapy. The selection of appropriate tools should depend on the DIR application with its corresponding available input, desired output, and time requirement. Discussions were hosted by the ESTRO Physics Workshop 2021 on Commissioning and Quality Assurance for DIR in Radiotherapy. A consensus was reached on what requirements are needed for commissioning and quality assurance for different applications, and what combination of tools is associated with this.
For commissioning, we recommend the target registration error of manually annotated anatomical landmarks or the distance-to-agreement of manually delineated contours to evaluate alignment. These should be supplemented by the distance to discordance and/or biomechanical criteria to evaluate consistency and plausibility. Digital phantoms can be useful to evaluate DIR for dose accumulation but are currently only available for a limited range of anatomies, image modalities and types of deformations.
For quality assurance of DIR for contour propagation, we recommend at least a visual inspection of the registered image and contour. For quality assurance of DIR for warping quantitative information such as dose, Hounsfield units or positron emission tomography-data, we recommend visual inspection of the registered image together with image similarity to evaluate alignment, supplemented by an inspection of the Jacobian determinant or bending energy to evaluate plausibility, and by the dose (gradient) to evaluate relevance. We acknowledge that some of these metrics are still missing in currently available commercial solutions.
有多种工具可用于可变形图像配准(DIR)的调试和质量保证,在放射治疗方面各有利弊。选择合适的工具应取决于 DIR 应用及其相应的可用输入、所需输出和时间要求。ESTRO 2021 物理研讨会就放疗中 DIR 的调试和质量保证进行了讨论。在调试方面,我们建议使用人工标注解剖标志的目标注册误差或人工划定轮廓的距离-吻合度来评估对准情况。此外,还应辅之以不一致距离和/或生物力学标准,以评估一致性和可信度。数字模型可用于评估剂量累积的 DIR,但目前仅适用于有限范围的解剖、图像模式和变形类型。为了保证对剂量、Hounsfield 单位或正电子发射断层扫描数据等定量信息进行翘曲处理的 DIR 的质量,我们建议对注册图像进行目视检查,并结合图像相似性来评估对齐情况,同时辅以雅各布行列式或弯曲能量检查来评估可信度,并通过剂量(梯度)来评估相关性。我们承认,目前可用的商业解决方案中仍缺少其中一些指标。