A pyramidal multiphase level set algorithm for multi-object segmentation of 3-D medical images.
- Author:
Gang ZHENG
1
;
Huinan WANG
Author Information
1. Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016,China. zg431193@yahoo.com.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Diagnostic Imaging;
methods;
Humans;
Image Enhancement;
Image Interpretation, Computer-Assisted;
Imaging, Three-Dimensional;
methods
- From:
Journal of Biomedical Engineering
2008;25(5):989-1008
- CountryChina
- Language:Chinese
-
Abstract:
The Chan and Vese (C-V) model using one level set function can only represent one object and one background by the sign of the level set function and is not able to express multiple sub-objects of the object region in three-dimensional (3-D) medical images. To deal with the problem, the two-dimensional (2-D) C-V model is firstly extended to the 3-D model. Secondly, a key technique,designated as the technique of painting background, ensures that the evolving curve stops only inside the object following the theory of simultaneous brightness contrast. Thirdly, a pyramidal multiphase level set algorithm for segmentation is developed by the 3-D C-V model and the proposed technique. Finally, experimental results show that the proposed algorithm is able to partition a given image into multiple objects (n-1 level sets for n objects). Also, the algorithm is especially effective for the detection of sub-objects with weak boundaries.
