DocumentCode
66620
Title
Resolution Guarantees in Electrical Impedance Tomography
Author
Harrach, Bastian ; Ullrich, Marcel
Author_Institution
Dept. of Math., Univ. of Stuttgart, Stuttgart, Germany
Volume
34
Issue
7
fYear
2015
fDate
Jul-15
Firstpage
1513
Lastpage
1521
Abstract
Electrical impedance tomography (EIT) uses current-voltage measurements on the surface of an imaging subject to detect conductivity changes or anomalies. EIT is a promising new technique with great potential in medical imaging and non-destructive testing. However, in many applications, EIT suffers from inconsistent reliability due to its enormous sensitivity to modeling and measurement errors. In this work, we show that it is principally possible to give rigorous resolution guarantees in EIT even in the presence of systematic and random measurement errors. We derive a constructive criterion to decide whether a desired resolution can be achieved in a given measurement setup. Our results cover the case where anomalies of a known minimal contrast in a subject with imprecisely known background conductivity are to be detected from noisy measurements on a number of electrodes with imprecisely known contact impedances. The considered settings are still idealized in the sense that the shape of the imaging subject has to be known and the allowable amount of uncertainty is rather low. Nevertheless, we believe that this may be a starting point to identify new applications and to design and optimize measurement setups in EIT.
Keywords
biomedical electrodes; electric impedance imaging; measurement errors; EIT; anomalies; background conductivity; conductivity changes; contact impedances; current-voltage measurements; electrical impedance tomography; electrodes; measurement setups; medical imaging; minimal contrast; noisy measurements; nondestructive testing; random measurement errors; resolution guarantees; systematic measurement errors; Conductivity; Conductivity measurement; Current measurement; Electrodes; Image resolution; Tomography; Voltage measurement; Electrical impedance tomography (EIT); anomaly detection; complete electrode model; inclusion detection; monotonicity method; resolution guarantee;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/TMI.2015.2404133
Filename
7042342
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