Abstract

Magnetic resonance electrical impedance tomography (MREIT) measures magnetic flux density signals through the use of a magnetic resonance imaging (MRI) in order to visualize the internal conductivity and/or current density. Understanding the reconstruction procedure for the internal current density, we directly measure the second derivative of B z data from the measured k-space data, from which we can avoid a tedious phase unwrapping to obtain the phase signal of B z. We determine optimal weighting factors to combine the derivatives of magnetic flux density data, ∇2 B z, measured using the multi-echo train. The proposed method reconstructs the internal current density using the relationships between the induced internal current and the measured ∇2 B z data. Results from a phantom experiment demonstrate that the proposed method reduces the scanning time and provides the internal current density, while suppressing the background field inhomogeneity. To implement the real experiment, we use a phantom with a saline solution including a balloon, which excludes other artifacts by any concentration gradient in the phantom.

Highlights

  • Magnetic resonance electrical impedance tomography (MREIT) visualizes a cross-sectional conductivity and/or current density inside the human body

  • The magnetic resonance imaging (MRI) scanner only measures the z-component of the induced magnetic flux density B = (Bx, By, Bz); the MREIT techniques have focused on the reconstruction of the internal conductivity and/or current density by using the measurable Bz data instead of subject rotation [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18]

  • In order to increase the quality of measured Bz data, a measurement technique called the injected current nonlinear encoding (ICNE) method was developed, which extends the duration of the injection current until the end of the read-out gradient in order to maximize the signal intensity of the magnetic flux density [20]

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Summary

Introduction

Magnetic resonance electrical impedance tomography (MREIT) visualizes a cross-sectional conductivity and/or current density inside the human body. The MREIT technique injects currents through attached electrodes in order to probe the imaging subject and measures the induced magnetic flux density, inside the subject using an MRI scanner. The MRI scanner only measures the z-component of the induced magnetic flux density B = (Bx, By, Bz); the MREIT techniques have focused on the reconstruction of the internal conductivity and/or current density by using the measurable Bz data instead of subject rotation [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18]. Motivated by the ICNE pulse sequence method, an ICNE-multiecho technique was developed and optimized by finding an optimal weighting factor for the multiple measured Bz data [21]

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