An Approach for Detecting Cerebral Artery Stenosis Based on MRA Images

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Abstract Cerebral artery stenosis is an important cause and risk factor to ischemic cerebrovascular disease. This paper describes a simple and effective method for the detection of cerebral artery stenosis in magnetic resonance angiography (MRA). Because of the complex structure of the brain blood vessels, the fast and accurate segmentation method is needed. Here, we used the information of the maximum intensity projection (MIP) image to get 3D vascular structure. As skeleton was one of useful measures for charactering region-based shape features, we extracted 3D-skeleton of blood vessels by using fast marching method (FMM). Finally, the accurate cross-sectional areas based on cerebrovascular skeleton were computed to determine the location and extent of vascular stenosis. The results showed that our method could effectively detect the cerebral artery stenosis.

Key words： cerebral artery stenosis MR angiography 3D segmentation 3D-skeletonization cross-sectional profiles

Received: 05 July 2018

Corresponding Authors: LI De-yu. E-mail: deyuli@buaa.edu.cn

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	Articles by authors
	LI Xing-wen
	ZHOU Gang
	YANG Ting
	ZHANG Qi
	QIAO Hui-ting
	LI Shu-yu
	LI De-yu

Cite this article:

LI Xing-wen,ZHOU Gang,YANG Ting, et al. An Approach for Detecting Cerebral Artery Stenosis Based on MRA Images[J]. Chinese Journal of Biomedical Engineering, 2018, 27(3): 93-99.

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http://manu32.magtech.com.cn/Jwk_zgswyx_en/EN/ OR http://manu32.magtech.com.cn/Jwk_zgswyx_en/EN/Y2018/V27/I3/93

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