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Computerized White Matter and Gray Matter Extraction from MRI of Brain Image
Department of Computer Science and Engineering, Academy of Technology, Adisaptagram, India
E.C.S.U, Indian Statistical Institute, Kolkata, India
E.C.S.U, Indian Statistical Institute, Kolkata, India
Department of Computer Science and Engineering, University of Calcutta, Kolkata, India
- 1 Department of Computer Science and Engineering, Academy of Technology, Adisaptagram, India
- 2 E.C.S.U, Indian Statistical Institute, Kolkata, India
- 3 E.C.S.U, Indian Statistical Institute, Kolkata, India
- 4 Department of Computer Science and Engineering, University of Calcutta, Kolkata, India
Journal of Biomedical Science and Engineering·Volume 08 (2015)·Pages 582–589·Published 4 September 2015·DOI10.4236/jbise.2015.89054
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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.
KeywordsAutomated SegmentationConvexhullRelative AreaWhite MatterGray MatterStandard Deviation
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