Gradient Vector Flow Field and Fast Marching Based Method for Centerline Computation of Coronary Arteries

被引：2

作者：

Cui, Hengfei ^{[1
,2
]}

Xia, Yong ^{[1
,2
]}

机构：

[1] Northwestern Polytech Univ, Sch Comp Sci & Engn, Shaanxi Key Lab Speech & Image Informat Proc SAII, Xian 710072, Shaanxi, Peoples R China

[2] Northwestern Polytech Univ, Sch Comp Sci & Engn, CMCC, Xian 710072, Shaanxi, Peoples R China

来源：

INTELLIGENCE SCIENCE AND BIG DATA ENGINEERING, ISCIDE 2017 | 2017年 / 10559卷

基金：

中国国家自然科学基金;

关键词：

Gradient vector flow; Fast marching method; Coronary centerline;

D O I：

10.1007/978-3-319-67777-4_54

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper develops new concept of validating centerline extraction method of coronary arteries. The approach is based on the gradient vector flow (GVF) filed of the 3D segmented coronary arteries models. It is implemented with the Gaussian based speed image. The approach was validated over 3 three-dimensional synthetic vessel models and further tested in 3 clinical coronary arteries models reconstructed from computed tomography coronary angiography (CTCA) in human patients. The results showed an excellent agreement between the proposed method and ground truth centerline in synthetic vessel models. Second, the proposed method was applicable in both left coronary arteries and right coronary arteries with average processing time of 25.7 min per case. In conclusion, the proposed gradient vector flow field and fast marching based method should have more routine clinical applicability.

引用

页码：597 / 607

页数：11

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