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Authors: João Duarte ; Helena Aidos and Ana Fred

Affiliation: Instituto Superior Técnico, Portugal

ISBN: 978-989-758-018-5

Keyword(s): Computer-Aided Diagnosis, Image Classification, Image segmentation, Alzheimer’s Disease.

Related Ontology Subjects/Areas/Topics: Applications ; Classification ; Clustering ; Feature Selection and Extraction ; Medical Imaging ; Pattern Recognition ; Software Engineering ; Theory and Methods

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. (More)

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Paper citation in several formats:
Duarte, J.; Duarte, J.; Aidos, H.; Fred, A. 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

@conference{icpram14,
author={João Duarte. and João Duarte. and Helena Aidos. and Ana Fred. 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},
}

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 - Duarte, J.
AU - Aidos, H.
AU - Fred, A.
AU - Fred, A.
PY - 2014
SP - 561
EP - 568
DO - 10.5220/0004808705610568

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