Title :
Brain Magnetic Resonance Images Segmentation Based on Wavelet Method
Author :
Zhenyu, Zhou ; Zongcai, Ruan
Author_Institution :
Dept. of Biomed. Eng., Southeast Univ., Nanjing
Abstract :
This paper focused on the brain magnetic resonance (MR) images, which is one of the key problems in image processing. A novel segmentation method based on watershed transform and wavelets transform is presented for white matter in thin sliced single-channel brain magnetic resonance scans. The original image is smoothed by using anisotropic filter and over-segmented by the watershed algorithm. Finally, the brain MR image is segmented automatically by using the multicontext wavelets-based thresholding (MCWT) method. The result of the experiment indicates that the algorithm can obtain segmentation result fast and accurately
Keywords :
biomedical MRI; brain; image segmentation; medical image processing; smoothing methods; wavelet transforms; anisotropic filter; image oversegmentation; image processing; image segmentation; multicontext wavelets-based thresholding; smoothing method; thin sliced single-channel brain magnetic resonance scans; watershed transform; wavelets transform; white matter; Anatomy; Anisotropic filters; Biomedical imaging; Brain; Humans; Image segmentation; Magnetic resonance; Magnetic resonance imaging; Signal processing algorithms; Wavelet transforms; brain imaging; image segmentation; watershed transform; wavelets; white matter;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1617125
