Improved Multiplicative Regularization for CSI-EPT

Journal Article (2024)
Author(s)

Florens Helfferich (Student TU Delft)

Peter M. Van Den Berg (Student TU Delft)

R. F. Remis (TU Delft - Tera-Hertz Sensing)

Research Group
Tera-Hertz Sensing
DOI related publication
https://doi.org/10.1109/JERM.2024.3363428
More Info
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Publication Year
2024
Language
English
Research Group
Tera-Hertz Sensing
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Issue number
1
Volume number
8
Pages (from-to)
84-89
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Abstract

We present an improved multiplicative Contrast Source Inversion (CSI) approach for Electrical Properties Tomography (EPT). In EPT, the conductivity and permittivity profiles of a body part are reconstructed based on a known circularly polarized part of the magnetic field (the B_1^+-field) that has its support inside the body part of interest. The CSI method attempts to reconstruct these profiles in an iterative and alternating manner by first fixing the contrast and updating the contrast source (product of tissue contrast and electric field) and subsequently fixing the contrast source and updating the contrast. In this paper, regularization is included in a multiplicative way similar to the standard multiplicative CSI-EPT method. However, the regularized objective function is different and an update for the contrast is obtained through one-step Jacobi filtering of a least-squares reconstruction that is based on the updated contrast source. Two-dimensional numerical experiments for conductivity and permittivity tissue profiles of a female body model show that, for data with various noise levels, the proposed regularization approach generally provides improved tissue reconstructions compared with standard multiplicative CSI-EPT.

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