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Authors: A. Zifan ; P. Liatsis ; P. Kantartzis and R. Vargas-Canas

Affiliation: City University, United Kingdom

Keyword(s): Electrical impedance tomography, Mesh, Probabilistic modeling and segmentation.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

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 rec onstructed 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. (More)

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Paper citation in several formats:
Zifan, A.; Liatsis, P.; Kantartzis, P. and Vargas-Canas, R. (2011). AUTOMATIC SEGMENTATION OF CONDUCTIVITY CHANGES IN ELECTRICAL IMPEDANCE TOMOGRAPHY IMAGES. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS; ISBN 978-989-8425-35-5; ISSN 2184-4305, SciTePress, pages 215-220. DOI: 10.5220/0003157002150220

@conference{biosignals11,
author={A. Zifan. and P. Liatsis. and P. Kantartzis. and R. Vargas{-}Canas.},
title={AUTOMATIC SEGMENTATION OF CONDUCTIVITY CHANGES IN ELECTRICAL IMPEDANCE TOMOGRAPHY IMAGES},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS},
year={2011},
pages={215-220},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003157002150220},
isbn={978-989-8425-35-5},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS
TI - AUTOMATIC SEGMENTATION OF CONDUCTIVITY CHANGES IN ELECTRICAL IMPEDANCE TOMOGRAPHY IMAGES
SN - 978-989-8425-35-5
IS - 2184-4305
AU - Zifan, A.
AU - Liatsis, P.
AU - Kantartzis, P.
AU - Vargas-Canas, R.
PY - 2011
SP - 215
EP - 220
DO - 10.5220/0003157002150220
PB - SciTePress