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使用血管内光学相干断层扫描对纤维帽进行容积定量分析。

Volumetric quantification of fibrous caps using intravascular optical coherence tomography.

作者信息

Wang Zhao, Chamie Daniel, Bezerra Hiram G, Yamamoto Hirosada, Kanovsky Jan, Wilson David L, Costa Marco A, Rollins Andrew M

出版信息

Biomed Opt Express. 2012 Jun 1;3(6):1413-26. doi: 10.1364/BOE.3.001413. Epub 2012 May 16.

DOI:10.1364/BOE.3.001413
PMID:22741086
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3370980/
Abstract

The rupture of thin-cap fibroatheroma accounts for most acute coronary events. Optical Coherence Tomography (OCT) allows quantification of fibrous cap (FC) thickness in vivo. Conventional manual analysis, by visually determining the thinnest part of the FC is subject to inter-observer variability and does not capture the 3-D morphology of the FC. We propose and validate a computer-aided method that allows volumetric analysis of FC. The radial FC boundary is semi-automatically segmented using a dynamic programming algorithm. The thickness at every point of the FC boundary, along with 3-D morphology of the FC, can be quantified. The method was validated against three experienced OCT image analysts in 14 lipid-rich lesions. The proposed method may advance our understanding of the mechanisms behind plaque rupture and improve disease management.

摘要

薄帽纤维粥样斑块破裂是大多数急性冠状动脉事件的原因。光学相干断层扫描(OCT)能够在体内对纤维帽(FC)厚度进行定量分析。传统的手动分析通过目视确定纤维帽最薄的部分,存在观察者间的差异,并且无法捕捉纤维帽的三维形态。我们提出并验证了一种能够对纤维帽进行容积分析的计算机辅助方法。使用动态规划算法对纤维帽的径向边界进行半自动分割。可以对纤维帽边界上每个点的厚度以及纤维帽的三维形态进行量化。该方法在14个富含脂质的病变中与三位经验丰富的OCT图像分析师进行了验证。所提出的方法可能会增进我们对斑块破裂背后机制的理解,并改善疾病管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/cebd93bbdbb8/boe-3-6-1413-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/011cd40fe84c/boe-3-6-1413-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/991b3d30e1ed/boe-3-6-1413-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/4416ef22111c/boe-3-6-1413-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/1a57ea12293e/boe-3-6-1413-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/08fe0fb94adc/boe-3-6-1413-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/cb5208d3b23f/boe-3-6-1413-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/2ddc06b7bb7e/boe-3-6-1413-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/cebd93bbdbb8/boe-3-6-1413-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/011cd40fe84c/boe-3-6-1413-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/991b3d30e1ed/boe-3-6-1413-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/4416ef22111c/boe-3-6-1413-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/1a57ea12293e/boe-3-6-1413-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/08fe0fb94adc/boe-3-6-1413-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/cb5208d3b23f/boe-3-6-1413-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/2ddc06b7bb7e/boe-3-6-1413-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/3370980/cebd93bbdbb8/boe-3-6-1413-g008.jpg

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