Decomposition of the brain portions by fuzzy inference techniques

The purpose of this paper establishes a method to decompose the brain region into the inherent portions. In it fuzzy inference is used to evaluate what portion each voxel belongs to. We develop a decomposition method based on standard region growing algorithm, which requires the inference results. The comparison of the volumes of our extracted portions with manually measured volumes by a medical doctor shows that on the average, the error rate is 2% for some MRI data.

[1]  Yutaka Hata,et al.  3D automatic extraction method of the brain regions aided by fuzzy matching techniques , 1996, Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium.

[2]  L. Zadeh,et al.  Fuzzy sets and applications : selected papers , 1987 .

[3]  Isabelle Bloch,et al.  Fuzzy distances and image processing , 1995, SAC '95.

[4]  Kazuharu Yamato,et al.  An Analogical Inference Representation with Certainty Factor , 1994 .