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Comparison of algorithms for non-linear inverse 3D electrical tomography reconstruction

Record type: Article

Non-linear electrical impedance tomography reconstruction algorithms usually employ the Newton–Raphson iteration scheme to image the conductivity distribution inside the body. For complex 3D problems, the application of this method is not feasible any more due to the large matrices involved and their high storage requirements. In this paper we demonstrate the suitability of an alternative conjugate gradient reconstruction algorithm for 3D tomographic imaging incorporating adaptive mesh refinement and requiring less storage space than the Newton–Raphson scheme. We compare the reconstruction efficiency of both algorithms for a simple 3D head model. The results show that an increase in speed of about 30% is achievable with the conjugate gradient-based method without loss of accuracy.

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Citation

Molinari, Marc, Cox, Simon J., Blott, Barry H. and Daniell, Geoffrey J. (2002) Comparison of algorithms for non-linear inverse 3D electrical tomography reconstruction Physiological Measurement, 23, (1), pp. 95-104. (doi:10.1088/0967-3334/23/1/309).

More information

Published date: 2002
Keywords: efficient non-linear 3D electrical impedance tomography reconstruction, three-dimensional adaptive mesh refinement, conjugate gradient solver

Identifiers

Local EPrints ID: 22076
URI: http://eprints.soton.ac.uk/id/eprint/22076
ISSN: 0967-3334
PURE UUID: 0cb977b7-f928-4e95-bfb2-9b7943eefb6b

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Date deposited: 21 Mar 2006
Last modified: 17 Jul 2017 16:23

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Contributors

Author: Marc Molinari
Author: Simon J. Cox
Author: Barry H. Blott
Author: Geoffrey J. Daniell

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