The spatial resolution improvement of EIT images by GVSPM-FOCUSS algorithm

Dong, Guoya and Liu, Heshang and Bayford, Richard and Yerworth, Rebecca J. and Gao, Shangkai and Holder, David S. and Yan, Weili (2004) The spatial resolution improvement of EIT images by GVSPM-FOCUSS algorithm. Physiological Measurement, 25 (1). pp. 209-225. ISSN 0967-3334

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Abstract

The focal underdetermined system solver (FOCUSS) algorithm is a recursive algorithm to find the localized energy solution. It is an initialization-dependent algorithm. The generalized vector sample pattern matching (GVSPM) method has been applied to solve the inverse problem of electrical impedance tomography (EIT) and obtain smooth reconstructed images. By combining the GVSPM solution as the initial estimation of the FOCUSS algorithm, an idea termed the GVSPM-FOCUSS method is presented in this paper to improve the spatial resolution and precision of localization for EIT images. The comparisons are carried out between the EIT images reconstructed with the GVSPM-FOCUSS method and the GVSPM method alone. The effectiveness is verified by simulated and tank data for a model of a two-dimensional homogeneous circular disk.

Item Type: Article
Research Areas: A. > School of Science and Technology > Natural Sciences
A. > School of Science and Technology > Natural Sciences > Biophysics and Bioengineering group
ISI Impact: 2
Item ID: 2412
Useful Links:
Depositing User: Repository team
Date Deposited: 26 May 2009 08:46
Last Modified: 13 Oct 2016 14:14
URI: http://eprints.mdx.ac.uk/id/eprint/2412

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