A Worm Model Based on Artificial Life for Automatic Segmentation of Medical Images

Authors:
Jian Feng;Xueyan Wang;Shuqian Luo
Affiliations:
College of Biomedical Engineering, Capital Medical University, Beijing, China 100069;College of Biomedical Engineering, Capital Medical University, Beijing, China 100069;College of Biomedical Engineering, Capital Medical University, Beijing, China 100069
Venue:
Medical Imaging and Informatics
Year:
2008

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Abstract

An intelligent deformable model called worm model is constructed. The worm has a central nervous system, vision, perception and motor systems. It is able to memorize, recognize objects and control the motion of its body. The new model overcomes the defects of existing methods since it is able to process the segmentation of the image intelligently using more information available rather than using pixels and gradients only. The experimental results of segmentation of the corpus callosum from MRI brain images show that the proposed worm model is able to segment medical images automatically and accurately. For those images that are more complex or with fragmentary boundaries, the predominance of the worm model is especially clear.