Feature Extraction in Pet Images for the Diagnosis of Alzheimer’s Disease

João Duarte, Helena Aidos, Ana Fred

2014

Abstract

Alzheimer’s disease accounts for an estimated 60% to 80% of cases of dementia and its victims are mainly elderly people. Recently, several computer-aided diagnosis systems have been developed, based on extracting information from FDG-PET scans. 3-dimensional FDG-PET images, under a voxel-as-feature approach, lead to high-dimensional feature spaces, which results in system performance problems. In order to reduce the dimensionality of these images, multi-scale methods may be used as feature extraction. We propose a multiscale approach for feature extraction of 3-dimensional images to improve the performance of a diagnosis system using clustering techniques. To evaluate the performance of our approach we applied it to a database obtained from Alzheimer’s Disease Neuroimaging Initiative (ADNI) and compare it with Gaussian pyramid technique. Experimental results have shown that the proposed approach is a good option for image feature reduction, outperforming the Gaussian pyramid technique.

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Paper Citation


in Harvard Style

Duarte J., Aidos H. and Fred A. (2014). Feature Extraction in Pet Images for the Diagnosis of Alzheimer’s Disease . In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 561-568. DOI: 10.5220/0004808705610568


in Bibtex Style

@conference{icpram14,
author={João Duarte and Helena Aidos and Ana Fred},
title={Feature Extraction in Pet Images for the Diagnosis of Alzheimer’s Disease},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={561-568},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004808705610568},
isbn={978-989-758-018-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Feature Extraction in Pet Images for the Diagnosis of Alzheimer’s Disease
SN - 978-989-758-018-5
AU - Duarte J.
AU - Aidos H.
AU - Fred A.
PY - 2014
SP - 561
EP - 568
DO - 10.5220/0004808705610568