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3-D Vascular Tree Segmentation Using Level-Set Deformable Model

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2 Author(s)
Kresimir Dekanic ; Physics Department, Faculty of Science, University of Zagreb, ; Sven Loncaric

This paper describes a novel 3-D level-set deformable model-based approach for segmentation of medical computed tomography (CT) images of human brain vascular tree. The method employs a 3-D edge detection method to establish the initial contours. Afterwards a velocity field is created using the gradient vector flow algorithm. The deformable model is then initialized and solved using a level-set method. Experimental validation of the method has been conducted on CT images of real patients. Comments on performance and possible improvements are discussed.

Published in:

Image and Signal Processing and Analysis, 2007. ISPA 2007. 5th International Symposium on

Date of Conference:

27-29 Sept. 2007