Author(s)

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

¹Department of Computer Science and Engineering, Academy of Technology, Adisaptagram, India.
²E.C.S.U, Indian Statistical Institute, Kolkata, India.
³Department of Computer Science and Engineering, University of Calcutta, Kolkata, India.

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.

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

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.