DocumentCode :
842848
Title :
Elliptic cylinder geometry for distinguishability analysis in impedance tomography
Author :
Saka, Birsen ; Yilmaz, Atila
Author_Institution :
Dept. of Electr. & Electron. Eng., Hacettepe Univ., Ankara, Turkey
Volume :
51
Issue :
1
fYear :
2004
Firstpage :
126
Lastpage :
132
Abstract :
Electrical impedance tomography (EIT) is a technique that computes the cross-sectional impedance distribution within the body by using current and voltage measurements made on the body surface. It has been reported that the image reconstruction is distorted considerably when the boundary shape is considered to be more elliptical than circular as a more realistic shape for the measurement boundary. This paper describes an alternative framework for determining the distinguishability region with a finite measurement precision for different conductivity distributions in a body modeled by elliptic cylinder geometry. The distinguishable regions are compared in terms of modeling error for predefined inhomogeneities with elliptical and circular approaches for a noncircular measurement boundary at the body surface. Since most objects investigated by EIT are noncircular in shape, the analytical solution for the forward problem for the elliptical cross section approach is shown to be useful in order to reach a better assessment of the distinguishability region defined in a noncircular boundary. This paper is concentrated on centered elliptic inhomogeneity in the elliptical boundary and an analytic solution for this type of forward problem. The distinguishability performance of elliptical cross section with cosine injected current patterns is examined for different parameters of elliptical geometry.
Keywords :
bioelectric potentials; electric impedance imaging; image reconstruction; body surface; centered elliptic inhomogeneity; conductivity distributions; cosine injected current patterns; distinguishability analysis; electrical impedance tomography; elliptic cylinder geometry; image reconstruction; modeling error; noncircular boundary; Conductivity measurement; Distortion measurement; Distributed computing; Geometry; Image reconstruction; Shape measurement; Surface impedance; Surface reconstruction; Tomography; Voltage measurement; Algorithms; Computer Simulation; Diagnosis, Computer-Assisted; Humans; Lung; Models, Biological; Plethysmography, Impedance; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Thorax;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2003.820335
Filename :
1254001
Link To Document :
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