Title :
Decomposition of the brain portions by fuzzy inference techniques
Author :
Morinaga, Norio ; Kobashi, Syoji ; Kamiura, Naotake ; Hata, Yutaka ; Yamato, Kazuharu
Author_Institution :
Dept. of Comput. Eng., Himeji Inst. of Technol., Hyogo, Japan
Abstract :
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
Keywords :
biomedical NMR; fuzzy logic; inference mechanisms; brain portions decompositions; decomposition method; fuzzy inference techniques; manually measured volumes; medical doctor; standard region growing algorithm; Biomedical imaging; Data mining; Error analysis; Fuzzy logic; Inference algorithms; Magnetic resonance imaging; Medical diagnostic imaging; Medical expert systems; Standards development; Volume measurement;
Conference_Titel :
Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian
Conference_Location :
Kenting
Print_ISBN :
0-7803-3687-9
DOI :
10.1109/AFSS.1996.583586
