3D automatic extraction method of the brain regions aided by fuzzy matching techniques

Author

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

164

Lastpage

169

Abstract

In the field of medical science, the extraction of the brain regions from MR images is valuable to diagnose an Alzheimer´s disease. We propose here a novel approach to extract the brain region using the fuzzy matching technique. We describe a modeling of the intensity histogram by fuzzy logic and evaluate fuzzy matching techniques for the extraction of the brain region. We develop the extraction algorithm based on a standard region growing technique. An experimental result on 36 MRI data shows that the error rate is 2.4%, on the average, against manually extracted volumes by a medical doctor

Keywords

biomedical NMR; fuzzy logic; medical diagnostic computing; medical expert systems; pattern matching; 3D automatic extraction method; Alzheimer´s disease; MR images; MRI data; brain regions; fuzzy logic; fuzzy matching techniques; intensity histogram; medical doctor; medical science; standard region growing technique; Alzheimer´s disease; Biomedical imaging; Brain modeling; Data mining; Error analysis; Fuzzy logic; Histograms; Magnetic resonance imaging; Medical diagnostic imaging; Standards development;

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.1996.583585

Filename

583585