Comparison of algorithms for non-linear inverse 3D electrical tomography reconstruction
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), 95-104. (doi:10.1088/0967-3334/23/1/309).
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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.
|Digital Object Identifier (DOI):||doi:10.1088/0967-3334/23/1/309|
|Keywords:||efficient non-linear 3D electrical impedance tomography reconstruction, three-dimensional adaptive mesh refinement, conjugate gradient solver|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QC Physics
|Divisions:||University Structure - Pre August 2011 > School of Electronics and Computer Science
University Structure - Pre August 2011 > School of Physics and Astronomy
|Date Deposited:||21 Mar 2006|
|Last Modified:||31 Mar 2016 11:41|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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