Abstract

Magnetic resonance electrical properties tomography (MREPT) uses the B1 mapping technique to provide the high-frequency conductivity distribution at Larmor frequency that simultaneously reflects the intracellular and extracellular effects. In biological tissues, the electrical conductivity can be described as the concentration and mobility of charge carriers. For the water molecule diffusivity, diffusion weighted imaging (DWI) measures the random Brownian motion of water molecules within biological tissues. The DWI data can quantitatively access the mobility of microscopic water molecules within biological tissues. By measuring multi-b-value DWI data and the recovered high-frequency conductivity at Larmor frequency, we propose a new method to decompose the conductivity into the total ion concentration and mobility in the extracellular space (ECS) within a routinely applicable MR scan time. Using the measured multi-b-value DWI data, a constrained compartment model is designed to estimate the extracellular volume fraction and extracellular mean diffusivity. With the extracted extracellular volume fraction and water molecule diffusivity, we directly reconstruct the low-frequency electrical properties including the extracellular mean conductivity and extracellular conductivity tensor. To demonstrate the proposed method by comparing the ion concentration and the ion mobility, we conducted human experiments for the proposed low-frequency conductivity imaging. Human experiments verify that the proposed method can recover the low-frequency electrical properties using a conventional MRI scanner.

Highlights

  • Using a magnetic resonance imaging (MRI) scanner, various techniques to measure and analyze the electrical properties of biological tissue have been developed and experimented [1,2,3,4,5,6,7]

  • By modifying the neurite orientation dispersion and density imaging (NODDI) model to only extract the volume fractions νic and νiso in (5), and the extracellular mean diffusivity, to extract the low-frequency conductivity component, we propose a multi-compartment model only depending on multi-b-value diffusion weighted imaging (DWI): S^j=S0 1⁄4 ð1 À nisoÞðnic exp ðÀ bjnicdicÞ

  • The water diffusion weighted imaging (DWI) measures the random Brownian motion of water molecules within a voxel, which related to the mobility of the water molecules by the Einstein relation

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Summary

Introduction

Using a magnetic resonance imaging (MRI) scanner, various techniques to measure and analyze the electrical properties of biological tissue have been developed and experimented [1,2,3,4,5,6,7]. Extracellular electrical conductivity property imaging on various factors, such as frequency, ion mobility, ion concentration, cell shapes, and cell membranes, etc. Frequency-dependent electrical properties such as permittivity and conductivity are divided into two electrically conducting compartments: the intracellular and extracellular spaces due to the cell membrane resistance, depending on frequency. Due to the insulation properties of thin cell membranes, internal electrical current flow caused by external current stimulation at low-frequency reflects ECS and cerebrospinal fluid (CSF), excluding the intracellular space (ICS). Due to the insulation properties of thin cell membranes, internal electrical current flow caused by external current stimulation at low-frequency reflects ECS and cerebrospinal fluid (CSF), excluding the intracellular space (ICS). [1, 8, 9]

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