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2D EIT for biomedical imaging: Design, measurement, simulation, and image reconstruction

✍ Scribed by Kim Hwa Lim; Guining Shi; Kyle McCarter; Rhett George Jr.; Gary Ybarra; William T. Joines; Scott Wartenberg; Qing Huo Liu


Book ID
102519867
Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
252 KB
Volume
49
Category
Article
ISSN
0895-2477

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✦ Synopsis


Abstract

A 2D electrical impedance tomography (EIT) system has been developed at Duke University as an experimental system to test the forward and inverse algorithms for EIT application. The forward model is based on the 2nd‐order finite element method (FEM), while the image reconstruction is based on the distorted Born iterative method (DBIM). The major contributions of this work are the application of the higher‐order FEM as a forward solver, and the DBIM as an inverse solver to the integrated EIT system. The forward model has been validated with the measured data to within 0.5% accuracy. Excellent images have been reconstructed with these collected EIT data sets. Β© 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 2989–2998, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22938


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