Evaluation of brain tissue classification in MR images using simulated brain database

Author

Luo, Shuqian ; Li, Wei ; Li, Nan ; Liu, Jiawei

Author_Institution

Dept. of Biomed. Eng., Capital Univ. of Med. Sci., Beijing, China

Volume

1

fYear

2000

fDate

2000

Firstpage

678

Abstract

Validation of analysis techniques of in-vivo acquired images is very difficult due to the lack of a gold standard. In this paper, a Simulated Brain Database (SBD) is used as the ground truth, and some measures for the evaluation are defined. The algorithms of texture based classification and adaptive segmentation are evaluated. Moreover, some suggestions are given for the improvement of the algorithms. The evaluation program is implemented with Delphi programming language

Keywords

biomedical MRI; brain; image classification; image segmentation; image texture; medical image processing; Delphi programming language; adaptive segmentation; algorithms improvement; brain tissue classification evaluation; ground truth; magnetic resonance imaging; medical diagnostic imaging; texture based classification; Analytical models; Brain modeling; Classification algorithms; Gold; Image analysis; Image databases; Image segmentation; Magnetic resonance; Software algorithms; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-6465-1

Type

conf

DOI

10.1109/IEMBS.2000.900836

Filename

900836