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Automated segmentation of white matter WM and gray matter GM is a very important task for detecting multiple diseases. The paper proposed a simple method for WM and GM extraction form magnetic resonance imaging MRI of brain. The proposed methods based on binarization, wavelet decomposition, and convexhull produce very effective results in the context of visual inspection and as well as quantifiably. It tested on three different Transvers, Sagittal, Coronal types of MRI of brain image and the validation of experiment indicate accurate detection and segmentation of the interesting structures or particular region of MRI of brain image.

KEYWORDS

Automated Segmentation, Convexhull, Relative Area, White Matter, Gray Matter, Standard Deviation

Cite this paper

Roy, S. , Ganguly, D. , Chatterjee, K. and Bandyopadhyay, S. 2015 Computerized White Matter and Gray Matter Extraction from MRI of Brain Image. Journal of Biomedical Science and Engineering, 8, 582-589. doi: 10.4236-jbise.2015.89054.





Autor: Sudipta Roy1, Debayan Ganguly2, Kingshuk Chatterjee2, Samir Kumar Bandyopadhyay3

Fuente: http://www.scirp.org/



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