Low-parametric Induced Current - Magnetic Resonance Electrical Impedance Tomography for quantitative conductivity estimation of brain tissues using a priori information: A simulation study

Geeter, Nele De; Crevecoeur, Guillaume; Dupré, Luc

doi:10.1109/iembs.2010.5627896

Cited by 6 publications

(5 citation statements)

References 15 publications

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“…However, the reduction of the injected current down to a non‐painful level, while maintaining sufficient spatial resolution and signal to noise ratio (SNR), remains a problem. To avoid direct current injection resulting in pain sensation, a new technique was recently introduced . This technique uses the MR scanner to measure the accumulated phase induced by LF eddy currents in samples (Φ LF ( r )), as in MR‐EIT.…”

Section: Introductionmentioning

confidence: 99%

A geometrical shift results in erroneous appearance of low frequency tissue eddy current induced phase maps

Mandija

Lier

Katscher

et al. 2015

Magnetic Resonance in Med

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Section: Introductionmentioning

confidence: 99%

A geometrical shift results in erroneous appearance of low frequency tissue eddy current induced phase maps

Mandija

Lier

Katscher

et al. 2015

Magnetic Resonance in Med

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“…Current MR‐based noninvasive conductivity mapping is limited to AC conductivity. Methods to measure DC or low frequency conductivity using MR are available but the compatibility of these methods with susceptibility is questionable . In addition, measurement of AC susceptibility has yet to be demonstrated.…”

Section: Discussionmentioning

confidence: 99%

Simultaneous imaging of in vivo conductivity and susceptibility

Kim

Choi

Gho

et al. 2013

Magnetic Resonance in Med

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Purpose Approaches for quantitative mapping of electric conductivity and magnetic susceptibility using MRI have been developed independently. The purpose of this study is to present a method to simultaneously acquire information on conductivity and susceptibility and to produce images based on these properties. Methods A 3D multi-echo gradient-echo sequence was used. Phase evolution during the multi-echo was used to produce quantitative susceptibility maps, while the phase value at zero echo time (TE) was retrieved, which were used to generate quantitative conductivity maps. Electromagnetic (EM) simulations were performed to evaluate the phase distribution due to conductivity variations. Phantom and in vivo data were also acquired to assess the quality of images produced. Results Simulations demonstrated that phase differences across objects increase with size and conductivity. For an accurate conductivity estimate, the maximum TE was approximately equal to the true T2* value in order to achieve signal-to-noise ratio maximization. The most accurate susceptibility was obtained when separating phase contribution from conductivity. Phantom and in vivo results showed good quality images representing the EM properties. Conclusion A simultaneous quantitative EM property imaging approach is demonstrated here. The approach not only improves the efficiency of mapping EM properties, but can also improve the accuracy of susceptibility mapping by separating image phases introduced by conductivity and susceptibility.

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“…Mathematics and numerics. Algorithms for MREIT/CDII have been adapted for the numerical solution of these problems, thereby using measurements involving B z J [33,84], or measurements involving J [72].…”

Section: Problem 8 (Inverse Problem Icmreit)mentioning

confidence: 99%

Hybrid tomography for conductivity imaging

Widlak¹,

Scherzer²

2012

Inverse Problems

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Hybrid imaging techniques utilize couplings of physical modalities -they are called hybrid, because, typically, the excitation and measurement quantities belong to different modalities. Recently there has been an enormous research interest in this area because these methods promise very high resolution. In this paper we give a review on hybrid tomography methods for electrical conductivity imaging. The reviewed imaging methods utilize couplings between electric, magnetic and ultrasound modalities. By this it is possible to perform high-resolution electrical impedance imaging and to overcome the low-resolution problem of electric impedance tomography.

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Low-parametric Induced Current - Magnetic Resonance Electrical Impedance Tomography for quantitative conductivity estimation of brain tissues using a priori information: A simulation study

Cited by 6 publications

References 15 publications

A geometrical shift results in erroneous appearance of low frequency tissue eddy current induced phase maps

A geometrical shift results in erroneous appearance of low frequency tissue eddy current induced phase maps

Simultaneous imaging of in vivo conductivity and susceptibility

Hybrid tomography for conductivity imaging

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