Vascular segmentation using level set method

Authors:
Yongqiang Zhao;Lei Zhang;Minglu Li
Affiliations:
Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China;Department of Radiology, Tongji Hospital of Tongji University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China
Venue:
CIS'04 Proceedings of the First international conference on Computational and Information Science
Year:
2004

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Abstract

In this paper, we propose a two-stage level set segmentation framework to extract vascular tree from magnetic resonance angiography(MRA). First, we smooth the isosurface of MRA by anisotropic diffusion filter. Then this smoothed surface is treated as the initial localization of the desired contour, and used in the following geodesic active contours method, which provides accurate vascular structure. Results on cases demonstrate the effectiveness and accuracy of the approach.