Title :
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
fDate :
29 Oct-1 Nov 1998
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.745495
