NDLI: MRI segmentation using dialectical optimization

Content Provider	IEEE Xplore Digital Library
Author	dos Santos, W.P. de Assis, F.M. de Souza, R.E.
Copyright Year	2009
Description	Author affiliation: Departamento de Engenharia Elétrica, Universidade Federal de Campina Grande, 58109-970, Campina Grande, Paraíba, Brazil, and Departamento de Sistemas e Computação, Escola Politécnica de Pernambuco, Universidade de Pernambuco, 50.720-001, Recife, Pernambuco, Brazil (dos Santos, W.P.) \|\| Departamento de Física, Universidade Federal de Pernambuco, 50670-901, Recife, Pernambuco, Brazil (de Souza, R.E.) \|\| Departamento de Engenharia Elétrica, Universidade Federal de Campina Grande, 58109-970, Campina Grande, Paraíba, Brazil (de Assis, F.M.)
Abstract	Biology, Psychology and Social Sciences are intrinsically connected to the very roots of the development of algorithms and methods in Computational Intelligence, as it is easily seen in approaches like genetic algorithms, evolutionary programming and particle swarm optimization. In this work we propose a new optimization method based on dialectics using fuzzy membership functions to model the influence of interactions between integrating poles in the status of each pole. Poles are the basic units composing dialectical systems. In order to validate our proposal we designed a segmentation method based on the optimization of k-means using dialectics for the segmentation of MR images. As a case study we used 181 MR synthetic multispectral images composed by proton density, T1- and T2-weighted synthetic brain images. Comparing our proposal to k-means, fuzzy c-means, and Kohonen’s self-organized maps, concerning the quantization error, we proved that our method can improved results obtained using k-means.
Starting Page	5752
Ending Page	5755
File Size	396457
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5332609
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnetic resonance imaging Proposals Image segmentation Computational biology Evolution (biology) Psychology Computational intelligence Genetic algorithms Genetic programming Particle swarm optimization
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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