Alzheimer Disease Detection Using Edge Enhanced K Means Clustering Algorithm

10 Pages Posted: 3 Mar 2020

See all articles by S. S. Vijayalakshmi

S. S. Vijayalakshmi

Galgotias University

Shruti Pallawi

Galgotias University, Students

T. Genish

Karpagam Academy of Higher Education - Department of Computer Science

Date Written: February 27, 2020

Abstract

The wide usage of Segmentation of images is in medical application. In medical imaging the most significant problems that we come across is misclassification and discontinuous boundaries. Further low contrast, complex shape and unclear boundaries also deteriorate the Magnetic Resonance Images segmentation performance. In order to extract brain tissues we need to register either with deformation model or any atlases. In this paper we have addressed all these problems and extracted most significant brain tissue hippocampus by merging clustering approach and region growing techniques. After analyzing the structure of hippocampus we can easily diagnose many cognitive disorders. An edge enhance K Mean Clustering Algorithm has been proposed which successfully extracts the hippocampus and gives comparatively better result than existing approaches.

Keywords: Misclassification, Hippocampus, Skull Stripping, Edge Enhancement, Magnetic Resonance Imaging (MRI), Alzheimer’s disease (AD)

Suggested Citation

Vijayalakshmi, S. S. and Pallawi, Shruti and Genish, T., Alzheimer Disease Detection Using Edge Enhanced K Means Clustering Algorithm (February 27, 2020). 5th International Conference on Next Generation Computing Technologies (NGCT-2019), Available at SSRN: https://ssrn.com/abstract=3545092 or http://dx.doi.org/10.2139/ssrn.3545092

S. S. Vijayalakshmi

Galgotias University ( email )

Plot No.2, Sector 17-A
Yamuna Expressway
Greater Noida, UT Uttar Pradesh 201306
India

Shruti Pallawi (Contact Author)

Galgotias University, Students ( email )

Plot No.2, Sector 17-A
Yamuna Expressway
Greater Noida, Uttar Pradesh 201306
India

T. Genish

Karpagam Academy of Higher Education - Department of Computer Science ( email )

India

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