DocumentCode
3448393
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
fYear
1996
fDate
11-14 Dec 1996
Firstpage
170
Lastpage
175
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/AFSS.1996.583586
Filename
583586
Link To Document