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颈内动脉三维对比增强磁共振血管造影的半自动分割与狭窄定量分析

Semiautomatic segmentation and stenosis quantification of 3D contrast-enhanced MR angiograms of the internal carotid artery.

作者信息

van Bemmel Cornelis M, Viergever Max A, Niessen Wiro J

机构信息

Image Sciences Institute, University Medical Center, Utrecht, The Netherlands.

出版信息

Magn Reson Med. 2004 Apr;51(4):753-60. doi: 10.1002/mrm.20020.

Abstract

A technique is presented for the segmentation and quantification of stenosed internal carotid arteries (ICAs) in 3D contrast-enhanced MR angiography (CE-MRA). Segmentation with sub-pixel accuracy of the ICA is achieved via level-set techniques in which the central axis serves as the initialization. The central axis is determined between two user-defined points, and minimal user interaction is required. For quantification, the cross-sectional area is measured in the stenosis and at a reference segment in planes perpendicular to the central axis. The technique was applied to 20 ICAs. The variation in measurements obtained by this method in comparison with manual observations was 8.7%, which is smaller than the interobserver variability among three experts (11.0%).

摘要

本文介绍了一种用于在三维对比增强磁共振血管造影(CE-MRA)中对狭窄颈内动脉(ICA)进行分割和量化的技术。通过水平集技术实现了对ICA的亚像素精度分割,其中以中心轴作为初始化。中心轴在两个用户定义的点之间确定,所需的用户交互最少。为了进行量化,在狭窄处以及垂直于中心轴的平面中的参考段测量横截面积。该技术应用于20条ICA。与手动观察相比,该方法获得的测量值的变化为8.7%,小于三位专家之间的观察者间变异性(11.0%)。

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