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MIRSIG 立场文件:放射治疗中图像配准和融合算法的应用。

MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapy.

机构信息

Department of Radiation Oncology, Wellington Blood and Cancer Centre, Wellington, New Zealand.

Holland Proton Therapy Centre, Delft, Netherlands.

出版信息

Phys Eng Sci Med. 2022 Jun;45(2):421-428. doi: 10.1007/s13246-022-01125-3. Epub 2022 May 6.

DOI:10.1007/s13246-022-01125-3
PMID:35522369
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9239966/
Abstract

The report of the American Association of Physicists in Medicine (AAPM) Task Group No. 132 published in 2017 reviewed rigid image registration and deformable image registration (DIR) approaches and solutions to provide recommendations for quality assurance and quality control of clinical image registration and fusion techniques in radiotherapy. However, that report did not include the use of DIR for advanced applications such as dose warping or warping of other matrices of interest. Considering that DIR warping tools are now readily available, discussions were hosted by the Medical Image Registration Special Interest Group (MIRSIG) of the Australasian College of Physical Scientists & Engineers in Medicine in 2018 to form a consensus on best practice guidelines. This position statement authored by MIRSIG endorses the recommendations of the report of AAPM task group 132 and expands on the best practice advice from the 'Deforming to Best Practice' MIRSIG publication to provide guidelines on the use of DIR for advanced applications.

摘要

2017 年发布的美国医学物理学家协会(AAPM)第 132 工作组报告审查了刚性图像配准和变形图像配准(DIR)方法和解决方案,为放射治疗中临床图像配准和融合技术的质量保证和质量控制提供了建议。然而,该报告并未包括 DIR 在高级应用中的使用,例如剂量弯曲或其他感兴趣矩阵的弯曲。考虑到 DIR 弯曲工具现在已经很容易获得,2018 年澳大利亚物理科学家和工程师在医学领域的医学图像注册特别兴趣小组(MIRSIG)组织了讨论,以就最佳实践指南达成共识。这份由 MIRSIG 撰写的立场声明认可了 AAPM 第 132 工作组报告的建议,并扩展了来自“变形以达到最佳实践”MIRSIG 出版物的最佳实践建议,为 DIR 在高级应用中的使用提供了指南。

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本文引用的文献

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Br J Radiol. 2021 Jun 1;94(1122):20210001. doi: 10.1259/bjr.20210001. Epub 2021 Apr 29.
2
Rigid and Deformable Image Registration for Radiation Therapy: A Self-Study Evaluation Guide for NRG Oncology Clinical Trial Participation.放疗中的刚性和弹性图像配准:NRG 肿瘤学临床试验参与的自我学习评估指南。
Pract Radiat Oncol. 2021 Jul-Aug;11(4):282-298. doi: 10.1016/j.prro.2021.02.007. Epub 2021 Mar 2.
3
An international survey on the clinical use of rigid and deformable image registration in radiotherapy.国际刚性和变形图像配准在放射治疗中的临床应用调查。
J Appl Clin Med Phys. 2020 Oct;21(10):10-24. doi: 10.1002/acm2.12957. Epub 2020 Sep 11.
4
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5
Quantifying the dose accumulation uncertainty after deformable image registration in head-and-neck radiotherapy.量化头颈部放疗中形变图像配准后的剂量累积不确定性。
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