Mohd Saad, N. and Syed Abu Bakar, Syed Abdul Rahman and Muda, S. and Musa, Mohd. Mokji and Salahuddin, L. (2011) Brain lesion segmentation of diffusion-weighted MRI using gray level co-occurrence matrix. In: 2011 IEEE International Conference on Imaging Systems and Techniques, IST 2011 - Proceedings. IEEE Explorer, 284 -289. ISBN 978-161284896-9
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Official URL: http://dx.doi.org/10.1109/IST.2011.5962179
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.
|Item Type:||Book Section|
|Uncontrolled Keywords:||diffusion-weighted MRI, GLCM, segmentation|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Deposited By:||Liza Porijo|
|Deposited On:||04 Dec 2012 04:14|
|Last Modified:||04 Feb 2017 08:32|
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