Tissue classification of multi-spectral MR images of brain

Author

Qian, Luo Shu ; Xiang, Li ; Cheng, Li Kun ; Liang, Liu Shu

Author_Institution

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

Volume

2

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

634

Abstract

Intra- and inter-scan intensity inhomogeneities are a common source of difficulty in conventional intensity-based segmentation of MR images. In this paper, cluster analysis is used for initial classification. The final result is obtained by using adaptive segmentation which estimates the bias field and corrects the intensity inhomogeneities of multi-spectral images

Keywords

biomedical MRI; brain; image classification; image segmentation; medical image processing; adaptive segmentation; bias field; brain MRI; cluster analysis; initial classification; intensity inhomogeneities correction; interscan intensity inhomogeneities; intrascan intensity inhomogeneities; magnetic resonance imaging; medical diagnostic imaging; multispectral MR images; tissue classification; Biomedical engineering; Biomedical imaging; Brain; Image analysis; Image segmentation; Image texture analysis; Iterative algorithms; Low pass filters; Magnetic resonance imaging; Nonuniform electric fields;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.745495

Filename

745495