Automatic segmentation of conductivity changes in electrical impedance tomography images

A. Zifan, P. Liatsis, P. Kantartzis, R. Vargas-Canas

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

3 Scopus citations

Abstract

In this paper, we propose a novel method for the automatic segmentation of Electrical Impedance Tomography (EIT) lung images. EIT is a non-invasive technique, which produces low-spatial and high-temporal resolution images of the internal resistivity of the region of the body probed by currents. EIT is the only technology that reliably quantifies regional lung volumes non-invasively. The problem is non-linear and ill-conditioned and can be solved using 2D or 3D finite element methods (FEMs) subject to using appropriate regularisation strategies. The usual method of segmenting EIT lung images is to manually select a region of interest and derive statistical measures. This procedure is not suitable for FEM-based models as it works on rectangular pixels, as well as making the task tedious and time consuming. We propose an alternative segmentation framework, which operates directly on the resulting FEM meshes, prior to rasterisation in order to prevent the propagation of errors in the reconstructed resistivity regions, due to mapping onto a rectangular grid. We use a spatio-temporal probabilistic method to segment conductivity changes in the EIT thorax images. Application of the proposed method offers a much needed alternative to interactive segmentation currently favoured by EIT researchers and clinicians.

Original languageBritish English
Title of host publicationBIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing
Pages215-220
Number of pages6
StatePublished - 2011
EventInternational Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2011 - Rome, Italy
Duration: 26 Jan 201129 Jan 2011

Publication series

NameBIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

Conference

ConferenceInternational Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2011
Country/TerritoryItaly
CityRome
Period26/01/1129/01/11

Keywords

  • Electrical impedance tomography
  • Mesh
  • Probabilistic modeling and segmentation

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