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White Matter and Gray Matter Segmentation in Brain MRI Images Using PSO Based Clustering Technique

S. Naganandhini1 , P. Kalavathi2

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-04 , Page no. 337-341, May-2018

Online published on May 31, 2018

Copyright © S. Naganandhini , P. Kalavathi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S. Naganandhini , P. Kalavathi, “White Matter and Gray Matter Segmentation in Brain MRI Images Using PSO Based Clustering Technique,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.04, pp.337-341, 2018.

MLA Style Citation: S. Naganandhini , P. Kalavathi "White Matter and Gray Matter Segmentation in Brain MRI Images Using PSO Based Clustering Technique." International Journal of Computer Sciences and Engineering 06.04 (2018): 337-341.

APA Style Citation: S. Naganandhini , P. Kalavathi, (2018). White Matter and Gray Matter Segmentation in Brain MRI Images Using PSO Based Clustering Technique. International Journal of Computer Sciences and Engineering, 06(04), 337-341.

BibTex Style Citation:
@article{Naganandhini_2018,
author = {S. Naganandhini , P. Kalavathi},
title = {White Matter and Gray Matter Segmentation in Brain MRI Images Using PSO Based Clustering Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {06},
Issue = {04},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {337-341},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=408},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=408
TI - White Matter and Gray Matter Segmentation in Brain MRI Images Using PSO Based Clustering Technique
T2 - International Journal of Computer Sciences and Engineering
AU - S. Naganandhini , P. Kalavathi
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 337-341
IS - 04
VL - 06
SN - 2347-2693
ER -

           

Abstract

Alzheimer’s disease is one of the brain disorders caused due to shrinkage of brain tissues, particularly the White Matter and Grey Matter. Many imaging modalities are used to acquire the image of human brain, in order to diagnose the disorder. MRI is widely used technique to detect Alzheimer’s disease. In this research work, we aimed to develop a computational method to quantify the brain tissue loss in MRI human head scans. In this proposed method, we used particle swam optimization (PSO) technique to find the optimal cluster centroids to segment the brain tissue. These segmented White Matter and Gray matter are further analysed to quantify the Alzheimer’s disease. The output of this method is quantitatively and qualitatively evaluated by the similarity measures – Jaccard, and Dice based on the expert segmented results.

Key-Words / Index Term

Brain Tissue Segmentation, Clustering, Particle Swarm Optimization, MRI Images, Grey Matter and White Matter

References

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