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Computerized White Matter and Gray Matter Extraction from MRI of Brain Image

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DOI: 10.4236/jbise.2015.89054    2,829 Downloads   3,372 Views   Citations
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Sudipta Roy1, Debayan Ganguly2, Kingshuk Chatterjee2, Samir Kumar Bandyopadhyay3

Affiliation(s)

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.

ABSTRACT

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.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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