Snake modeling and distance transform approach to vascular centerline extraction and quantification

被引:20
作者
Maddah, M
Soltanian-Zadeh, H
Afzali-Kusha, A
机构
[1] Henry Ford Hlth Syst, Dept Radiol, Image Anal Lab, Detroit, MI 48202 USA
[2] Univ Tehran, Dept Elect & Comp Engn, Control & Intelligent Proc Grp, Tehran, Iran
[3] Inst Studies Theoret Phys & Math, Sch Intelligent Syst, Signal & Image Proc Grp, Tehran, Iran
关键词
active contour models; centerline extraction; vascular quantification; confocal microscopy;
D O I
10.1016/S0895-6111(03)00040-5
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
A new method for fully automated centerline extraction and quantification of microvascular structures in confocal microscopy (CM) images is presented. Our method uses the idea of active contour models as well as path planning and distance transforms for the three-dimensional centerline extraction of elongated objects such as vessels. The proposed approach is especially efficient for centerline extraction of complex branching structures. The method performance is validated in several CM images of both normal and stroked rat brains as well as simulated objects. The results confirm the efficiency of the proposed method in extracting the medial curve of vessels, which is essential for the computation of quantitative parameters. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码:503 / 512
页数:10
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