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Magnetoacoustic tomography with magnetic induction for biological tissue imaging: numerical modelling and simulations

Magnetoacoustic tomography with magnetic induction for biological tissue imaging: numerical... Abstract Many imaging techniques are playing an increasingly significant role in clinical diagnosis. In the last years especially noninvasive electrical conductivity imaging methods have been investigated. Magnetoacoustic tomography with magnetic induction (MAT-MI) combines favourable contrast of electromagnetic tomography with good spatial resolution of sonography. In this paper a finite element model of MAT-MI forward problem has been presented. The reconstruction of the Lorentz force distribution has been performed with the help of a time reversal algorithm. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Archives of Electrical Engineering de Gruyter

Magnetoacoustic tomography with magnetic induction for biological tissue imaging: numerical modelling and simulations

Magnetoacoustic tomography with magnetic induction for biological tissue imaging: numerical modelling and simulations


Many imaging techniques are playing an increasingly significant role in clinical diagnosis. In the last years especially noninvasive electrical conductivity imaging methods have been investigated. Magnetoacoustic tomography with magnetic induction (MAT-MI) combines favourable contrast of electromagnetic tomography with good spatial resolution of sonography. In this paper a finite element model of MAT-MI forward problem has been presented. The reconstruction of the Lorentz force distribution has been performed with the help of a time reversal algorithm. Key words: finite element analysis, magnetoacoustic effects, medical diagnostic imaging, reconstruction algorithms 1. Introduction Many various imaging techniques are playing an increasingly significant role in biomedical research and clinical diagnosis. In recent years noninvasive electrical conductivity imaging has been especially investigated, because electrical properties of biological tissues are known to be sensitive to physiological and pathological conditions of living organisms. For instance, human breast cancer or liver tumor cells have a significantly higher electrical conductivity than a healthy tissue [1, 2]. During the past several decades a lot of noninvasive imaging methods have been developed and utilized in order to reconstruct the electrical conductivity distribution of biological tissues, e.g.: electrical impedance tomography (EIT), magnetic induction tomography (MIT), magnetic resonance electrical impedance tomography (MREIT), magnetoacoustic tomography (MAT) [3]. Recently, a new technique of bio-impedance tomography, i.e. magnetoacoustic tomography with magnetic induction (MAT-MI) was developed by coupling two fundamental physical phenomena, namely: ultrasound and magnetism. Such a combination eliminates the shielding effect and low spatial resolution of previous imaging modalities. The simulation process of MAT-MI involves two main parts. At first, the so-called forward problem is...
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Publisher
de Gruyter
Copyright
Copyright © 2016 by the
ISSN
2300-2506
eISSN
2300-2506
DOI
10.1515/aee-2016-0011
Publisher site
See Article on Publisher Site

Abstract

Abstract Many imaging techniques are playing an increasingly significant role in clinical diagnosis. In the last years especially noninvasive electrical conductivity imaging methods have been investigated. Magnetoacoustic tomography with magnetic induction (MAT-MI) combines favourable contrast of electromagnetic tomography with good spatial resolution of sonography. In this paper a finite element model of MAT-MI forward problem has been presented. The reconstruction of the Lorentz force distribution has been performed with the help of a time reversal algorithm.

Journal

Archives of Electrical Engineeringde Gruyter

Published: Mar 1, 2016

References