K., Nithyakalyani and R., Kalpana and S., Sudhakar and N., Vigneswaran (2015) A Novel Pixel Counting Technique to Assess the Volumetric Changes in Human Brain Morphology. Biosciences Biotechnology Research Asia, 12 (1). pp. 677-685. ISSN 0973-1245. (Published)
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A Novel Pixel Counting Technique to Assess the Volumetric Changes in Human Brain Morphology.pdf - Published Version Available under License Creative Commons Attribution. Download (117kB) | Preview |
Abstract
Morphometric measurements such as volume, thickness and sulcal depth are used to provide valuable information about cortical characteristics in both healthy and diseased conditions of the brain. Relevantly, the focus of this paper is to illustrate the morphometric method of assessing the volume changes in the brain caused by aging and/ or pathological condition. Using the T1-weighted magnetic resonance images of the brain, the clustering technique is adopted towards segmenting the image into separate compartments of white and gray matters (WM and GM) and the cerebral-spinal fluid (CSF). The clustering technique pursued includes the traditional K-means and fuzzy Cmeans algorithm by considering the Euclidean distance metric toward grouping of entities of similar pattern vectors. The method evolved allows the underlying volume measurement of clustered regions by pixel-counting technique. Comparison of volume measurement of segmented cerebral tissues among male and female subjects undergoing ageing process and with cerebral pathogenic states is exercised. The volumetric changes among the male and female subjects are also considered The results reveal distinct details thereof. Specifically, the volumetric assessment indicated proves to be a viable technique toward understanding the gender differences, geriatric changes in the brain as well as the conditions of brain tissues vis-à-vis neuro-related issues. Clinical data gathered and computed results on the proposed method are furnished to illustrate the efficacy of the method and its short comings.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | White matter, Gray matter, Cerebrospinal fluid, K-means and Fuzzy C-means clustering technique, Pixel counting technique. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 10 Sep 2015 04:45 |
| Last Modified: | 10 Sep 2015 04:45 |
| URI: | http://umpir.ump.edu.my/id/eprint/10163 |
| Download Statistic: | View Download Statistics |
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