A combination of dual-tree discrete wavelet transform and minimum redundancy maximum relevance method for diagnosis of Alzheimer's disease

In this paper, we propose a three-phased method for diagnosis of Alzheimer's disease using the structural magnetic resonance imaging (MRI). In first phase, gray matter tissue probability map is obtained from every brain MRI volume. Further, five regions of interest (ROIs) are extracted as per p...

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Bibliographic Details
Published in:International journal of bioinformatics research and applications Vol. 11; no. 5; p. 433
Main Authors: Aggarwal, Namita, Rana, Bharti, Agrawal, R K, Kumaran, Senthil
Format: Journal Article
Language:English
Published: Switzerland 2015
Subjects:
dual-tree DWT
magnetic resonance imaging
Alzheimer&amp
MRI
39
diagnosis
discrete wavelet transform
minimum redundancy maximum relevance
brain scanning
classification
s disease
bioinformatics
mRMR
ISSN:1744-5485
Online Access:Get more information
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Summary:In this paper, we propose a three-phased method for diagnosis of Alzheimer's disease using the structural magnetic resonance imaging (MRI). In first phase, gray matter tissue probability map is obtained from every brain MRI volume. Further, five regions of interest (ROIs) are extracted as per prior knowledge. In second phase, features are extracted from each ROI using 3D dual-tree discrete wavelet transform. In third phase, relevant features are selected using minimum redundancy maximum relevance features selection technique. The decision model is built with features so obtained, using a classifier. To evaluate the effectiveness of the proposed method, experiments are performed with four well-known classifiers on four data sets, built from a publicly available OASIS database. The performance is evaluated in terms of sensitivity, specificity and classification accuracy. It was observed that the proposed method outperforms existing methods in terms of all three performance measures. This is further validated with statistical tests.
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ISSN:1744-5485
DOI:10.1504/IJBRA.2015.071944