2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting 2020
DOI: 10.1109/ieeeconf35879.2020.9330486
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A Regularized Electric Flux Volume Integral Equation for Brain Imaging

Abstract: Volume integral equations for modeling biological tissues in the frequency domain typically suffer from illconditioning for high dielectric contrasts and low frequencies. These conditioning breakdowns severely compromise the accuracy and applicability of these models and render them impractical despite their numerous advantages. In this work, we present an electric flux volume integral equation (D-VIE) free from these shortcomings when computed on biologically compatible simply connected objects. This new form… Show more

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Cited by 2 publications
(1 citation statement)
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“…The reader should however note that, although in our numerical validations we focus on biomedical applications and brain modeling in particular, the solver we propose is a completely general purpose one and several other application scenarios such as the modeling of lossy interconnects in printed circuit boards [30] could benefit from its use. Very preliminary results of this work have been presented in the conference contribution [37]. This paper is organized as follows: in Section II we set the background and notation, including the definition of the D-VIE along with its discrete Helmholtz decomposition.…”
Section: Introductionmentioning
confidence: 99%
“…The reader should however note that, although in our numerical validations we focus on biomedical applications and brain modeling in particular, the solver we propose is a completely general purpose one and several other application scenarios such as the modeling of lossy interconnects in printed circuit boards [30] could benefit from its use. Very preliminary results of this work have been presented in the conference contribution [37]. This paper is organized as follows: in Section II we set the background and notation, including the definition of the D-VIE along with its discrete Helmholtz decomposition.…”
Section: Introductionmentioning
confidence: 99%