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从图像数据中提取肺运动学:综述。

Pulmonary kinematics from image data: a review.

机构信息

Department of Radiology and Medical Imaging, University of Virginia, USA.

出版信息

Acad Radiol. 2011 Apr;18(4):402-17. doi: 10.1016/j.acra.2010.10.019.

DOI:10.1016/j.acra.2010.10.019
PMID:21377592
Abstract

The effects of certain lung pathologies include alterations in lung physiology negatively affecting pulmonary compliance. Current approaches to diagnosis and treatment assessment of lung disease commonly rely on pulmonary function testing. Such testing is limited to global measures of lung function, neglecting regional measurements, which are critical for early diagnosis and localization of disease. Increased accessibility to medical image acquisition strategies with high spatiotemporal resolution coupled with the development of sophisticated intensity-based and geometric registration techniques has resulted in the recent exploration of modeling pulmonary motion for calculating local measures of deformation. In this review, the authors provide a broad overview of such research efforts for the estimation of pulmonary deformation. This includes discussion of various techniques, current trends in validation approaches, and the public availability of software and data resources.

摘要

某些肺部病理学的影响包括肺生理的改变,这会对肺顺应性产生负面影响。目前,肺部疾病的诊断和治疗评估通常依赖于肺功能测试。这种测试仅限于肺部功能的整体测量,忽略了区域测量,而区域测量对于疾病的早期诊断和定位至关重要。随着具有高时空分辨率的医学图像采集策略的普及,以及基于强度和几何配准技术的发展,人们最近开始探索对肺部运动进行建模以计算局部变形的测量。在这篇综述中,作者对用于估计肺部变形的此类研究工作进行了广泛概述。这包括讨论各种技术、当前验证方法的趋势以及软件和数据资源的公开可用性。

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