An approach for detecting cerebral artery stenosis based on MRA images
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.Finally,the accurate crosssectional 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.
cerebral artery stenosis MR angiography 3D segmentation 3D-skeletonization cross-sectional profiles
X.W. Li G. Zhu T. Yang X.G. Xia K. Fan Q. Zhang H.T. Qiao S.Y. Li D.Y. Li
School of Biological Science and Medical Engineering, Beihang University, Beijing, China
国际会议
World Congress on Medical Physics and Biomedical Engineering (2012年医学物理及生物医学工程国际会议(IFMBE))
北京
英文
2091-2094
2012-05-26（万方平台首次上网日期，不代表论文的发表时间）