Vesselness enhancement diffusion

被引:41
作者
Cañero, C [1 ]
Radeva, P [1 ]
机构
[1] Univ Autonoma Barcelona, Comp Vis Ctr, Dept Informat, E-08193 Barcelona, Spain
关键词
image enhancement; non-linear filtering; tubular structures enhancement; X-ray angiography; vessel segmentation;
D O I
10.1016/j.patrec.2003.08.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a new anisotropic diffusion filter to enhance the local coherence of multiscale tubular structures on 2D images. The proposed filter uses a diffusion tensor with diffusion direction and strength determined by the local structure, and chooses automatically for each pixel the diffusion tensor scale. In this paper, we show how this filter enhances X-ray coronary angiographic images to facilitate vessel segmentation. To this aim, we present experimental results of the performance of the filter on synthetic and real images. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:3141 / 3151
页数:11
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