DocumentCode :
1881332
Title :
Segmenting Internal Brain Nuclei in MRI Brain Image Using Morphological Operators
Author :
Selvaraj, D. ; Dhanasekaran, R.
Author_Institution :
Dept. of Electron. & Commun. Eng., Sathyabama Univ., Chennai, India
fYear :
2010
fDate :
10-12 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
We present a new technique for segmenting brain nuclei from MRI brain images. Our method performs the segmentation using a combination approach of thresholding with morphological operators. The MRI brain image contains skull and noisy background. The latter have to be removed for further analysis. Elimination of any obstacles and noise from the image is the primary function of the morphological operators. We use simple morphological operators like dilation, erosion, opening and closing to the binarized MRI brain image. The results of skull stripped MR image with the use of disk shaped structuring elements are presented in the paper. The proposed method has been applied to a large number of MR images showing promising results for various image qualities, encouraging for future.
Keywords :
biomedical MRI; image denoising; image segmentation; medical image processing; MRI brain image; internal brain nuclei segmentation; morphological operators; noise elimination; Brain; Image segmentation; Magnetic resonance imaging; Morphology; Pixel; Shape; Skull;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5391-7
Electronic_ISBN :
978-1-4244-5392-4
Type :
conf
DOI :
10.1109/CISE.2010.5677218
Filename :
5677218
Link To Document :
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