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Proceedings Paper

The extraction of vascular axis based on signed distance function
Author(s): Qingqi Hong; Liyan Chen; Beizhan Wang; Qingqiang Wu
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Paper Abstract

This paper presents a simple and fast algorithm to extract the skeleton of vascular structures from segmented vessel datasets. Our algorithm is based on a step by step approach to move a small volume of interest along the vessel tree. With the introduction of Signed Distance Function (SDF), the moving sphere along the vessel tree can easily and automatically detect bifurcations and predict the location of next axis point. Some experiments have been carried out to demonstrate the strengths of our proposed method.

Paper Details

Date Published: 10 January 2014
PDF: 5 pages
Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90690D (10 January 2014); doi: 10.1117/12.2050060
Show Author Affiliations
Qingqi Hong, Xiamen Univ. (China)
Liyan Chen, Xiamen Univ. (China)
Beizhan Wang, Xiamen Univ. (China)
Qingqiang Wu, Xiamen Univ. (China)


Published in SPIE Proceedings Vol. 9069:
Fifth International Conference on Graphic and Image Processing (ICGIP 2013)
Yulin Wang; Xudong Jiang; Ming Yang; David Zhang; Xie Yi, Editor(s)

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