Identification of Alzheimer’s Disease in MRI Data using Discrete Wavelet Transform and Support Vector Machine

Putri Wulandari, Dian Candra Rini Novitasari, Ahmad Hanif Asyhar

2018

Abstract

Dementia is a serious problem, recorded worldwide as 4.6 million cases of dementia each year, 60-70% caused by Alzheimer’s disease. Alzheimer’s disease interferes with daily activities that can lead to death. In order to obtain proper treatment by a specialist, early detection is required. So, this paper aims to assist the medical in diagnosing Alzheimer’s disease. Detection of Alzheimer’s disease begins with segmentation the feature of magnetic resonance imaging (MRI) data using Fuzzy C-Means (FCM ) into three clusters, using Discrete Wavelet Transform (DWT) to extract the features of all sub-band ‘Haar’, ‘Daubechies 2’, and ‘Daubechies 4’, and classified using the Support Vector Machine (SVM) into two classes: Alzheimer and non-Alzheimer. The result shows that approximation sub-band third level wavelet transformations in ‘Haar’ is the best method to identify Alzheimer’s disease, with the accuracy value is 97.37%, the sensitivity value to detect Alzheimer’s disease is 100%, and the specificity value is 92.86%.

Paper Citation

in Harvard Style

Wulandari P., Novitasari D. and Asyhar A. (2018). Identification of Alzheimer’s Disease in MRI Data using Discrete Wavelet Transform and Support Vector Machine.In Proceedings of the International Conference on Mathematics and Islam - Volume 1: ICMIs, ISBN 978-989-758-407-7, pages 198-204. DOI: 10.5220/0008519301980204

in Bibtex Style

@conference{icmis18,
author={Putri Wulandari and Dian Candra Rini Novitasari and Ahmad Hanif Asyhar},
title={Identification of Alzheimer’s Disease in MRI Data using Discrete Wavelet Transform and Support Vector Machine},
booktitle={Proceedings of the International Conference on Mathematics and Islam - Volume 1: ICMIs,},
year={2018},
pages={198-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008519301980204},
isbn={978-989-758-407-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Mathematics and Islam - Volume 1: ICMIs,
TI - Identification of Alzheimer’s Disease in MRI Data using Discrete Wavelet Transform and Support Vector Machine
SN - 978-989-758-407-7
AU - Wulandari P.
AU - Novitasari D.
AU - Asyhar A.
PY - 2018
SP - 198
EP - 204
DO - 10.5220/0008519301980204