Direct reconstruction of tissue parameters from differential multifrequency EIT in vivo

Physiological Measurement
Michael MayerHermann Scharfetter

Abstract

The basic purpose of electrical impedance tomography (EIT) is the reconstruction of conductivity distributions. While multifrequency measurements are of common use, the majority of reconstructed images are still conductivity distributions from one single frequency. More interesting than conductivities at each frequency are electrical tissue parameters, which describe the frequency-dependent conductivity changes of tissue. These parameters give information about physiological or electrical properties of tissues. By using this spectral information, a classification of different tissue types is possible. To get a distribution of tissue parameters, usually a posterior fitting of a tissue model to the conductivity spectra obtained with classical reconstruction algorithms at various frequencies is used. In this work, a single-step reconstruction algorithm for differential imaging was developed for the direct estimation of Cole parameters. This method is termed differential parametric reconstruction. The Cole model was used as the underlying tissue model, where only the relative changes of the two conductivity parameters sigma(0) and sigma(infinity) were reconstructed and the other two parameters of the model which are less identifiab...Continue Reading

References

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Citations

May 14, 2009·Bioelectromagnetics·Masaki SekinoShoogo Ueno
Sep 23, 2011·IEEE Transactions on Bio-medical Engineering·Andreas FhagerSven Nordebo
Dec 31, 2008·Critical Care Medicine·Marc BodensteinKlaus Markstaller
Sep 11, 2007·Physiological Measurement·Mehran GoharianJohn F MacGregor
Oct 2, 2007·Physiological Measurement·Yair Granot, Boris Rubinsky
Mar 1, 2019·Physiological Measurement·Tobias MendenMarian Walter
Nov 5, 2016·Physiological Measurement·Jakob OrschulikDaniel Teichmann
Aug 5, 2017·Scientific Reports·Sébastien Martin, Charles T M Choi
Feb 7, 2018·Physiological Measurement·Jakob OrschulikMarian Walter

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