使用计算机断层扫描进行纵向骨骼评估的图像注册

IF 4.2 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Current Osteoporosis Reports Pub Date : 2023-08-01 Epub Date: 2023-06-02 DOI:10.1007/s11914-023-00795-6
Han Liu, Pholpat Durongbhan, Catherine E Davey, Kathryn S Stok
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引用次数: 0

摘要

审查目的:刚性图像配准是评估肌肉骨骼慢性疾病的重要图像处理工具。在本文中,我们从相似性测量方法的角度对过去三年(2019-2022 年)刚性图像配准在使用计算机断层扫描监测骨微观结构和机械性能纵向变化方面的应用进行了批判性回顾。本综述确定了图像配准中使用的不同相似性测量方法的关键假设和权衡,并展示了使用不同相似性测量方法对配准结果的影响:最近的研究发现:图像配准被用于以下方面:校正纵向扫描之间的位置偏移,以量化骨骼微观结构和力学性能随时间的变化;开发基于配准的工作流程,用于临床前和临床研究中骨骼性能的纵向评估;开发和验证用于纵向研究的配准技术。在评估最近的文献时发现,刚性图像配准中使用的不同相似性测量方法的基本假设并不总是得到证实和报告。每种相似性测量方法都有其优缺点和基本假设。打破这些假设会导致糟糕和不准确的配准结果。因此,在选择相似性测量方法和解释结果时必须小心谨慎。我们建议,了解和验证相似性测量的假设条件将有助于对结构随时间的变化进行更准确、更有效的定量评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Image Registration in Longitudinal Bone Assessment Using Computed Tomography.

Image Registration in Longitudinal Bone Assessment Using Computed Tomography.

Image Registration in Longitudinal Bone Assessment Using Computed Tomography.

Image Registration in Longitudinal Bone Assessment Using Computed Tomography.

Purpose of review: Rigid image registration is an important image processing tool for the assessment of musculoskeletal chronic disease. In this paper, we critically review applications of rigid image registration in terms of similarity measurement methods over the past three years (2019-2022) in the context of monitoring longitudinal changes to bone microstructure and mechanical properties using computed tomography. This review identifies critical assumptions and trade-offs underlying different similarity measurement methods used in image registration and demonstrates the effect of using different similarity measures on registration outcomes.

Recent findings: Image registration has been used in recent studies for: correcting positional shifts between longitudinal scans to quantify changes to bone microstructural and mechanical properties over time, developing registration-based workflows for longitudinal assessment of bone properties in pre-clinical and clinical studies, and developing and validating registration techniques for longitudinal studies. In evaluating the recent literature, it was found that the assumptions at the root of different similarity measures used in rigid image registration are not always confirmed and reported. Each similarity measurement has its advantages and disadvantages, as well as underlying assumptions. Breaking these assumptions can lead to poor and inaccurate registration results. Thus, care must be taken with regards to the choice of similarity measurement and interpretation of results. We propose that understanding and verifying the assumptions of similarity measurements will enable more accurate and efficient quantitative assessments of structural changes over time.

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来源期刊
Current Osteoporosis Reports
Current Osteoporosis Reports Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
8.80
自引率
2.30%
发文量
44
期刊介绍: This journal intends to provide clear, insightful, balanced contributions by international experts that review the most important, recently published clinical findings related to the diagnosis, treatment, management, and prevention of osteoporosis. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas, such as current and future therapeutics, epidemiology and pathophysiology, and evaluation and management. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An international Editorial Board reviews the annual table of contents, suggests articles of special interest to their country/region, and ensures that topics are current and include emerging research. Commentaries from well-known figures in the field are also provided.
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