IDENTIFYING THE CARDIAC REGION IN IMAGES OF ELECTRICAL IMPEDANCE TOMOGRAPHY THROUGH WAVELET TRANSFORM

José Pedro de Oliveira, Harki Tanaaka, Neli Regina Siqueira Ortega

Abstract

Electrical Impedance Tomography (EIT) is an imaging method, still in development, in which an image of the conductivity of part of the body is inferred from surface electrical measurements. Despite the benefits, its resulting image still does not offer a good spatial resolution. In EIT images of the thorax the challenge is the treatment of perfusioal images, especially in the identification of the cardiac region. In an attempt to treat the EIT perfusion images, Tanaka and collaborators proposed a methodology using the theory of fuzzy sets (Tanaka, Ortega, Galizia, Borges & Amato, 2008). Fuzzy logic approach allowed an appropriated treatment of the uncertainty in identifying the pixel as belonging to a pulmonary or cardiac region. However, this fuzzy model presented some limitations when submitted to treat images from different clinical conditions, such as PEEP variation. In this work we present a methodology based on wavelet transform for analysis of the EIT signals of the pulmonary perfusion obtained in an animal experiment.

References

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Paper Citation


in Harvard Style

Oliveira J., Tanaaka H. and Ortega N. (2009). IDENTIFYING THE CARDIAC REGION IN IMAGES OF ELECTRICAL IMPEDANCE TOMOGRAPHY THROUGH WAVELET TRANSFORM . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2009) ISBN 978-989-674-012-2, pages 380-383. DOI: 10.5220/0002277203800383


in Bibtex Style

@conference{keod09,
author={José Pedro de Oliveira and Harki Tanaaka and Neli Regina Siqueira Ortega},
title={IDENTIFYING THE CARDIAC REGION IN IMAGES OF ELECTRICAL IMPEDANCE TOMOGRAPHY THROUGH WAVELET TRANSFORM},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2009)},
year={2009},
pages={380-383},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002277203800383},
isbn={978-989-674-012-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2009)
TI - IDENTIFYING THE CARDIAC REGION IN IMAGES OF ELECTRICAL IMPEDANCE TOMOGRAPHY THROUGH WAVELET TRANSFORM
SN - 978-989-674-012-2
AU - Oliveira J.
AU - Tanaaka H.
AU - Ortega N.
PY - 2009
SP - 380
EP - 383
DO - 10.5220/0002277203800383