UGC Approved Journal no 63975(19)

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Published in:

Volume 2 Issue 4
April-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1504009


Registration ID:
150238

Page Number

902-907

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Title

White Matter segmentation of brain MRI images for degenerative disease

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Abstract

Image processing techniques are widely used in different medical field for improving early detection of disease. Early detection is necessary for discover the disease at initial stage and giving a proper treatment for that. White Matter Lesions (WMLs) are small areas of dead cells found in parts of the brain. In general, it isdifficult for medical experts to accurately quantify the WMLs due to decreased contrast between WhiteMatter (WM) and Grey Matter (GM). The aim of this paper is to automatically detect the White MatterLesions which is present in the brains of elderly people. WML detection process includes the followingstages: 1. Image preprocessing, 2. Clustering (Fuzzy c-means clustering (FCM), Geostatistical Possibilisticclustering (GPC) and Geostatistical Fuzzy clustering (GFCM)). 1st method of white matter segmentation is FCM (Fuzzy c-means clustering) and it is based on fuzzy logic. 2ndmethod is GPC (Geostatistical Possibilistic Clustering) and it is based on possibilistic approach. 3rdmethod is GFCM (Geostatistical Fuzzy c-means Clustering)and it is based on fuzzy logic and possibilistic approach.The detection results reveal that GFCM better localizes the largeregions of lesions and gives less false positive rate when compared to FCM and GPC which captures thelargest loads of WMLs only in the upper ventral horns of the brain.

Key Words

White Matter , White Matter Lesion (WML), Fuzzy C means clustering (FCM), Geostatistical Possibilistic Clustering (GPC), Geostatistical Fuzzy c-means Clustering (GFCM)

Cite This Article

"White Matter segmentation of brain MRI images for degenerative disease", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 4, page no.902-907, April-2015, Available :http://www.jetir.org/papers/JETIR1504009.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"White Matter segmentation of brain MRI images for degenerative disease", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 4, page no. pp902-907, April-2015, Available at : http://www.jetir.org/papers/JETIR1504009.pdf

Publication Details

Published Paper ID: JETIR1504009
Registration ID: 150238
Published In: Volume 2 | Issue 4 | Year April-2015
DOI (Digital Object Identifier):
Page No: 902-907
Country: kalol gandhinagar, gujarat, india .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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