State estimation in three dimensional impedance imaging – Use of fluid dynamical evolution models

A. Seppänen, M. Vauhkonen, P. J. Vauhkonen, E. Somersalo, J. P. Kaipio*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

In this paper we consider the three dimensional impedance imaging of rapidly varying objects. Especially, we concentrate on the case where the target is moving fluid and the time dependence of the object can be described by a stochastic convection-diffusion (CD) model. The observations are made as in ordinary electrical impedance tomography (EIT) but in the reconstruction we take into account the time dependence of the object. The observation model of EIT together with the convection-diffusion model constitute the so-called state-space representation and the reconstruction problem of EIT can be described as the state estimation problem. The state estimation problem is solved with the fixed-lag Kalman smoother algorithm.

Original languageEnglish
Title of host publication2nd World Congress on Industrial Process Tomography
Pages198-206
Number of pages9
ISBN (Electronic)9780853163183
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventWorld Congress on Industrial Process Tomography - Hannover, Germany
Duration: 29 Aug 200131 Aug 2001
Conference number: 2

Conference

ConferenceWorld Congress on Industrial Process Tomography
Abbreviated titleISIPT
CountryGermany
CityHannover
Period29/08/200131/08/2001

Keywords

  • Electrical impedance tomography
  • Kalman Smoother
  • Process tomography
  • State estimation

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