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15 - General Engineering

University of Edinburgh (joint submission with Heriot-Watt University)

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Output 148 of 305 in the submission

Article title

High-Order Regularized Regression in Electrical Impedance Tomography

Type

D - Journal article

DOI

10.1137/11084724X

Title of journal

Siam journal on imaging sciences

Article number

Volume number

Issue number

First page of article

912

ISSN of journal

1936-4954

Year of publication

2012

URL

Number of additional authors

Additional information

This work derives an exact analytical relationship between the electrical measurements of a subject and its electrical properties. This use of higher order terms to derive an approximate analytical solution has significance for electrical impedance tomography (EIT) image reconstruction, and thus constitutes a major step forward from Calderon’s linear approximation (ISSN 1807-0302, reprint of original 1980 paper), which is used in most EIT reconstruction algorithms. Our paper contributed to the award of $253k from the Cyprus Research Promotion Foundation (research.org.cy) to develop geo-electric imaging tools (RPF/CyI/MIT/Polydorides, aioulian@research.org.cy) in collaboration with MIT (fdmorgan@mit.edu).

Interdisciplinary

Cross-referral requested

Research group

B - Sensors, Signals & Systems

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract