The extraction of vascular axis based on signed distance function

Qingqi Hong; Liyan Chen; Beizhan Wang; Qingqiang Wu

doi:10.1117/12.2050060

10 January 2014 The extraction of vascular axis based on signed distance function

Qingqi Hong, Liyan Chen, Beizhan Wang, Qingqiang Wu

Proceedings Volume 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013); 90690D (2014) https://doi.org/10.1117/12.2050060
Event: Fifth International Conference on Graphic and Image Processing, 2013, Hong Kong, China

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.

Citation Download Citation

Qingqi Hong, Liyan Chen, Beizhan Wang, and Qingqiang Wu "The extraction of vascular axis based on signed distance function", Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90690D (10 January 2014); https://doi.org/10.1117/12.2050060

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