Preconditioning of projected SIRT algorithm for electromagnetic tomography

Jianna Hao; Wuliang Yin; Qian Zhao; Kai Xu; Guang Chen

doi:10.1016/j.flowmeasinst.2012.10.007

Preconditioning of projected SIRT algorithm for electromagnetic tomography

Jianna Hao, Wuliang Yin, Qian Zhao, Kai Xu, Guang Chen

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Abstract

For Electromagnetic Tomography (EMT) Techniques, image reconstruction is one of the crucial steps, which directly affects the quality of reconstruction and real-time performance of the EMT system. Following analyzing a pre-iterative method for SIRT (simultaneous iterative reconstruction technique) algorithm, a preconditioning for the projected SIRT is proposed to accelerate the image reconstruction speed and alleviate the ill-posed nature of the EMT inverse problem. Experimental tests confirm that the quality of the reconstructed images using the preconditioning algorithm is enhanced with only a small number of iterations required. © 2012.

Original language	English
Pages (from-to)	39-44
Number of pages	5
Journal	Flow Measurement and Instrumentation
Volume	29
DOIs	https://doi.org/10.1016/j.flowmeasinst.2012.10.007
Publication status	Published - Mar 2013

Keywords

Electromagnetic tomography
Image reconstruction
Preconditioning
Projected SIRT

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10.1016/j.flowmeasinst.2012.10.007

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title = "Preconditioning of projected SIRT algorithm for electromagnetic tomography",

abstract = "For Electromagnetic Tomography (EMT) Techniques, image reconstruction is one of the crucial steps, which directly affects the quality of reconstruction and real-time performance of the EMT system. Following analyzing a pre-iterative method for SIRT (simultaneous iterative reconstruction technique) algorithm, a preconditioning for the projected SIRT is proposed to accelerate the image reconstruction speed and alleviate the ill-posed nature of the EMT inverse problem. Experimental tests confirm that the quality of the reconstructed images using the preconditioning algorithm is enhanced with only a small number of iterations required. {\textcopyright} 2012.",

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author = "Jianna Hao and Wuliang Yin and Qian Zhao and Kai Xu and Guang Chen",

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doi = "10.1016/j.flowmeasinst.2012.10.007",

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T1 - Preconditioning of projected SIRT algorithm for electromagnetic tomography

AU - Hao, Jianna

AU - Yin, Wuliang

AU - Zhao, Qian

AU - Xu, Kai

AU - Chen, Guang

PY - 2013/3

Y1 - 2013/3

N2 - For Electromagnetic Tomography (EMT) Techniques, image reconstruction is one of the crucial steps, which directly affects the quality of reconstruction and real-time performance of the EMT system. Following analyzing a pre-iterative method for SIRT (simultaneous iterative reconstruction technique) algorithm, a preconditioning for the projected SIRT is proposed to accelerate the image reconstruction speed and alleviate the ill-posed nature of the EMT inverse problem. Experimental tests confirm that the quality of the reconstructed images using the preconditioning algorithm is enhanced with only a small number of iterations required. © 2012.

AB - For Electromagnetic Tomography (EMT) Techniques, image reconstruction is one of the crucial steps, which directly affects the quality of reconstruction and real-time performance of the EMT system. Following analyzing a pre-iterative method for SIRT (simultaneous iterative reconstruction technique) algorithm, a preconditioning for the projected SIRT is proposed to accelerate the image reconstruction speed and alleviate the ill-posed nature of the EMT inverse problem. Experimental tests confirm that the quality of the reconstructed images using the preconditioning algorithm is enhanced with only a small number of iterations required. © 2012.

KW - Electromagnetic tomography

KW - Image reconstruction

KW - Preconditioning

KW - Projected SIRT

U2 - 10.1016/j.flowmeasinst.2012.10.007

DO - 10.1016/j.flowmeasinst.2012.10.007

M3 - Article

VL - 29

SP - 39

EP - 44

JO - Flow Measurement and Instrumentation

JF - Flow Measurement and Instrumentation

ER -

Preconditioning of projected SIRT algorithm for electromagnetic tomography

Abstract

Keywords

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