期刊
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
卷 33, 期 7, 页码 520-531出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compmedimag.2009.04.010
关键词
Image segmentation; Intensity inhomogeneity; Active contour model; Level set method; Variational method
资金
- National Natural Science Funds
- Vanderbilt University Institute of Imaging Science
- Mathematical Biosciences Institute at The Ohio State University
- Direct For Mathematical & Physical Scien
- Division Of Mathematical Sciences [0811003] Funding Source: National Science Foundation
In this paper, we propose an improved region-based active contour model in a variational level set formulation. We define an energy functional with a local intensity fitting term, which induces a local force to attract the contour and stops it at object boundaries, and an auxiliary global intensity fitting term, which drives the motion of the contour far away from object boundaries. Therefore, the combination of these two forces allows for flexible initialization of the contours. This energy is then incorporated into a level set formulation with a level set regularization term that is necessary for accurate computation in the corresponding level set method. The proposed model is first presented as a two-phase level set formulation and then extended to a multi-phase formulation. Experimental results show the advantages of our method in terms of accuracy and robustness. In particular, our method has been applied to brain MR image segmentation with desirable results. (C) 2009 Elsevier Ltd. All rights reserved.
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