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A fast parallel solver for the forward problem in electrical impedance tomography
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Jehl, Markus, Dedner, Andreas, Betcke, Timo, Aristovich, Kirill, Klöfkorn, Robert and Holder, David (2014) A fast parallel solver for the forward problem in electrical impedance tomography. IEEE Transactions on Biomedical Engineering, Volume 62 (Number 1). pp. 126-137. doi:10.1109/TBME.2014.2342280 ISSN 0018-9294.
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Official URL: http://dx.doi.org/10.1109/TBME.2014.2342280
Abstract
Electrical impedance tomography (EIT) is a noninvasive imaging modality, where imperceptible currents are applied to the skin and the resulting surface voltages are measured. It has the potential to distinguish between ischaemic and haemorrhagic stroke with a portable and inexpensive device. The image reconstruction relies on an accurate forward model of the experimental setup. Because of the relatively small signal in stroke EIT, the finite-element modeling requires meshes of more than 10 million elements. To study the requirements in the forward modeling in EIT and also to reduce the time for experimental image acquisition, it is necessary to reduce the run time of the forward computation. We show the implementation of a parallel forward solver for EIT using the Dune-Fem C++ library and demonstrate its performance on many CPU's of a computer cluster. For a typical EIT application a direct solver was significantly slower and not an alternative to iterative solvers with multigrid preconditioning. With this new solver, we can compute the forward solutions and the Jacobian matrix of a typical EIT application with 30 electrodes on a 15-million element mesh in less than 15 min. This makes it a valuable tool for simulation studies and EIT applications with high precision requirements. It is freely available for download.
Item Type: | Journal Article | ||||||||||
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Subjects: | R Medicine > RC Internal medicine | ||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Mathematics | ||||||||||
Library of Congress Subject Headings (LCSH): | Electrical impedance tomography, Finite element method, Parallel processing (Electronic computers) | ||||||||||
Journal or Publication Title: | IEEE Transactions on Biomedical Engineering | ||||||||||
Publisher: | IEEE | ||||||||||
ISSN: | 0018-9294 | ||||||||||
Official Date: | 23 July 2014 | ||||||||||
Dates: |
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Volume: | Volume 62 | ||||||||||
Number: | Number 1 | ||||||||||
Number of Pages: | 11 | ||||||||||
Page Range: | pp. 126-137 | ||||||||||
DOI: | 10.1109/TBME.2014.2342280 | ||||||||||
Status: | Peer Reviewed | ||||||||||
Publication Status: | Published | ||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||
Date of first compliant deposit: | 29 December 2015 | ||||||||||
Date of first compliant Open Access: | 29 December 2015 |
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