A recurrent cooperative/competitive field for segmentation of magnetic resonance brain imagery

Author

Worth, Andrew J. ; Lehar, Steve ; Kennedy, David N.

Author_Institution

Dept. of Cognitive & Neural Syst., Boston Univ., MA, USA

fYear

1991

fDate

18-21 Nov 1991

Firstpage

1403

Abstract

The gray-white decision network is introduced as an application of an on-center, off-surround recurrent cooperative/competitive network for segmentation of magnetic resonance imaging brain images. The three-layer dynamical system relaxes into a solution where each pixel is labeled as either gray matter, white matter, or `other´ matter by using raw input intensity, edge information, and neighbor interactions. This network is presented as an example of applying a recurrent cooperative/competitive field to a problem with multiple conflicting constraints. Simulations are presented and discussed

Keywords

biomedical NMR; brain; computerised picture processing; medical computing; neural nets; NMR imagery; computerised picture processing; gray-white decision network; magnetic resonance brain imagery; neural nets; recurrent cooperative/competitive network; segmentation; three-layer dynamical system; Brain; Humans; Image analysis; Image segmentation; Magnetic analysis; Magnetic properties; Magnetic resonance; Magnetic resonance imaging; Neuroscience; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1991. 1991 IEEE International Joint Conference on

Print_ISBN

0-7803-0227-3

Type

conf

DOI

10.1109/IJCNN.1991.170596

Filename

170596