NDLI: Brain lesion segmentation of Diffusion-weighted MRI using gray level co-occurrence matrix

Content Provider	IEEE Xplore Digital Library
Author	Mohd Saad, N. Abu-Bakar, S.A.R. Muda, S. Mokji, M.M. Salahuddin, L.
Copyright Year	2011
Description	Author affiliation: Radiology Department, Medical Centre, Universiti Kebangsaan Malaysia, Malaysia (Muda, S.) \|\| Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Malaysia (Abu-Bakar, S.A.R.; Mokji, M.M.) \|\| Faculty of Electronics & Computer Engineering, Universiti Teknikal Malaysia Melaka, Malaysia (Mohd Saad, N.; Salahuddin, L.)
Abstract	This paper presents an automated segmentation of brain lesion from Diffusion-weighted magnetic resonance images (DW-MRI or DWI) based on region and boundary information in gray level co-occurrence matrix (GLCM). The lesions are hyperintense lesion from tumour, acute infarction, haemorrhage and abscess, and hypointense lesion from chronic infarction and haemorrhage. Pre-processing is applied to the DWI for intensity normalization, background removal and intensity enhancement. Then, GLCM is computed to segment the lesions. Different peaks from the GLCM cross-section indicate the present of normal brain region, cerebral spinal fluid (CSF), hyperintense or hypointense lesions. Minimum and maximum threshold values are computed from the GLCM cross-section. Region and boundary information from the GLCM are introduced as the statistical features for segmentation of hyperintense and hypointense lesions. The proposed method provides very good segmentation results even in a small brain lesion.
Starting Page	284
Ending Page	289
File Size	931564
Page Count	6
File Format	PDF
ISBN	9781612848945
e-ISBN	9781612848969
DOI	10.1109/IST.2011.5962179
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-17
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lesions Pixel Magnetic resonance imaging Image segmentation Brain Histograms GLCM Segmentation Diffusion-weighted MRI
Content Type	Text
Resource Type	Article

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