Medical Image Segmentation Using New Hybrid Level-Set Method

Authors:
Yan Zhang;Bogdan J. Matuszewski;Lik-Kwan Shark;Christopher J. Moore
Affiliations:
-;-;-;-
Venue:
MEDIVIS '08 Proceedings of the 2008 Fifth International Conference BioMedical Visualization: Information Visualization in Medical and Biomedical Informatics
Year:
2008

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Abstract

In this paper, a new hybrid medical image segmentation method in the level-set framework is proposed. The method uses both the object’s boundary and region information to achieve robust and accurate segmentation results. The boundary information can help to detect the precise location of the target object and the region information can help to prevent the boundary leakage problem. Experimental results on a synthetic image as well as real 2D and 3D medical images are also shown in the paper with the emphasis on the comparisons between the new hybrid method and the Chan-Vese method.