Automatic segmentation of the encephalic parenchyma using fuzzy techniques

Author

Aymerich, F.X. ; Sobrevilla, P. ; Rovira, A. ; Gili, J. ; Montseny, E.

Author_Institution

Unitat de RM Vall d´´Hebron, Inst. de Diagnostic per la Imatge, Barcelona, Spain

Volume

3

fYear

2001

fDate

2001

Firstpage

2688

Abstract

This work shows an automatic, fast and reproducible algorithm to segment the encephalic parenchyma in magnetic resonance (MR) images. The algorithm has been implemented following a rule-based schema in which a fuzzy analysis of MR images information has been introduced to deal with the vagueness associated to the images. The obtention of a fuzzy result helps to determine the accuracy of the classification. The evaluation of the results is based on the use of quality indexes, which allow the comparison with previous works.

Keywords

biomedical MRI; brain; fuzzy logic; image segmentation; medical image processing; automatic fast reproducible algorithm; automatic segmentation; brain imaging; classification accuracy; encephalic parenchyma; fuzzy techniques; image vagueness; magnetic resonance imaging; medical diagnostic imaging; quality indexes; rule-based schema; Algorithm design and analysis; Central nervous system; Image analysis; Image processing; Image segmentation; Information analysis; Magnetic analysis; Magnetic resonance; Magnetic resonance imaging; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1017337

Filename

1017337