Tools and recommendations for commissioning and quality assurance of deformable image registration in radiotherapy

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
{"title":"Tools and recommendations for commissioning and quality assurance of deformable image registration in radiotherapy","authors":"Lando S. Bosma ,&nbsp;Mohammad Hussein ,&nbsp;Michael G. Jameson ,&nbsp;Soban Asghar ,&nbsp;Kristy K. Brock ,&nbsp;Jamie R. McClelland ,&nbsp;Sara Poeta ,&nbsp;Johnson Yuen ,&nbsp;Cornel Zachiu ,&nbsp;Adam U. Yeo ,&nbsp;the 2021 ESTRO Physics Workshop on Commissioning and Quality Assurance for Deformable Image Registration in Radiotherapy","doi":"10.1016/j.phro.2024.100647","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p><p>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.</p><p>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.</p></div>","PeriodicalId":36850,"journal":{"name":"Physics and Imaging in Radiation Oncology","volume":"32 ","pages":"Article 100647"},"PeriodicalIF":3.4000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405631624001179/pdfft?md5=117e12fc4f59df7add1108a1a3c70176&pid=1-s2.0-S2405631624001179-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics and Imaging in Radiation Oncology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405631624001179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
放射治疗中可变形图像配准的调试和质量保证工具与建议
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Physics and Imaging in Radiation Oncology
Physics and Imaging in Radiation Oncology Physics and Astronomy-Radiation
CiteScore
5.30
自引率
18.90%
发文量
93
审稿时长
6 weeks
期刊最新文献
Results of 2023 survey on the use of synthetic computed tomography for magnetic resonance Imaging-only radiotherapy: Current status and future steps Head and neck automatic multi-organ segmentation on Dual-Energy Computed Tomography Automatic segmentation for magnetic resonance imaging guided individual elective lymph node irradiation in head and neck cancer patients Development of a novel 3D-printed dynamic anthropomorphic thorax phantom for evaluation of four-dimensional computed tomography Technical feasibility of delivering a simultaneous integrated boost in partial breast irradiation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1