Gallix, A. and Gorriz, J. M. and Ramirez, J. and Illan, I. A. and Lang, E. W. (2012) On the empirical mode decomposition applied to the analysis of brain SPECT images. EXPERT SYSTEMS WITH APPLICATIONS, 39 (18). pp. 13451-13461. ISSN 0957-4174,
Full text not available from this repository. (Request a copy)Abstract
In this paper we propose a novel method for brain SPECT image feature extraction based on the empirical mode decomposition (EMD). The proposed method applied to assist the diagnosis of Alzheimer Disease (AD) selects the most discriminant voxels for support vector machine (SVM) classification from the transformed EMD feature space. In particular, the combination of frequency components of the EMD transformation are found to retain regional differences in functional activity which is characteristic of AD. In general, the EMD represents a fully data-driven, unsupervised and additive signal decomposition and does not need any a priori defined basis system. Several experiments were carried out on a balanced SPECT database collected from the "Virgen de las Nieves" Hospital in Granada (Spain), containing 96 recordings and yielding up to 100% maximum accuracy and 93.52 +/- 4.92% on average, with a acceptable biased estimate of the cross-validation (CV) true error, in separating AD and normal controls on this SPECT database. In this way, we achieve the "gold standard" labeling outperforming recently proposed CAD systems. (C) 2012 Elsevier Ltd. All rights reserved.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | SUPPORT VECTOR MACHINES; MILD COGNITIVE IMPAIRMENT; COMPUTER-AIDED DIAGNOSIS; ALZHEIMERS-DISEASE; FEATURE-EXTRACTION; EMISSION-TOMOGRAPHY; FEATURE-SELECTION; CLASSIFICATION; DEMENTIA; VALIDATION; Empirical mode decomposition; Support vector machines; SPECT; Alzheimer's disease |
| Subjects: | 500 Science > 570 Life sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 30 Apr 2020 10:07 |
| Last Modified: | 30 Apr 2020 10:07 |
| URI: | https://pred.uni-regensburg.de/id/eprint/17597 |
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