A bio-impedance quantitative method based on magnetic induction tomography for intracranial hematoma

Abstract

Magnetic induction tomography (MIT) is a non-invasive modality for imaging the complex conductivity (σ) or the magnetic permeability (μ) of a target under investigation. The critical issue in the clinical application of the detection of cerebral hemorrhage is the determination of intracranial hematoma status, including the location and volume of intracranial hematoma. In MIT, the reconstruction image is used to reflect intracranial hematoma. However, in medical applications where high resolutions are sought, image reconstruction is a time-and memory-consuming task because the associated inverse problem is nonlinear and illposed. The reconstruction image is the result of a series of calculations on the boundary detection value, and the color of the reconstructed image is the relative value. To quantitatively and faster represent intracranial hematoma and to provide a variety of characterization methods for MIT dynamic monitoring, one-dimensional quantitative indicators are established. Our experiment results indicate that there is a linear relationship between one-dimensional quantitative indicators. The change of the detection value can roughly determine the location of the hematoma.

Detailed Analytical Approach to Solve the Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) Problem for Three-Layer Objects

“…The electric field and the eddy current density vectors inside the object can be described as follows [2][3][4][6][7][8][11][12][13][14][15][16][17]:…”

“…In case of a sufficiently short pulse, after splitting the temporary magnetic field for the functions of space and time, the Lorentz force density can be expressed as [2][3][4][6][7][8][11][12][13][14][15][16][17]:…”

“…Recently, several noninvasive electromagnetic imaging methods were developed to determine the electrical conductivity distribution of various low-conductive objects. Among them, magnetoacoustic tomography with magnetic induction (MAT-MI) was recently established [2], which overcomes the unwanted shielding effect occurring in electrical impedance tomography (EIT), magnetoacoustic tomography with current injection (MAT-CI) [3], and magneto-acoustic tomography (MAT) [4][5][6] as well as defeats the problem of low spatial resolution of magnetic induction tomography (MIT) [7]. The MAT-MI technique-as a multiphysics imaging approach-is based on the coupling of electromagnetism and ultrasound into one hybrid method.…”

A New Method of Haemorrhagic Stroke Detection Via Deep Magnetic Induction Tomography

“…And in 2020, their team proposed a planar MIT method and used it to calculated 3D anatomical head model (Yixuan et al, 2020). In 2020, Ke et al established one-dimensional quantitative indicators to quantitatively represent intracranial hematoma which can roughly determine the location of the hematoma (Li Ke et al, 2020).…”

Application of a Generative Adversarial Network in Image Reconstruction of Magnetic Induction Tomography

“…Magnetic induction tomography (MIT) is a kind of electromagnetic imaging technology based on the eddy current testing principle [ 1 ]. In general applications, many groups of excitation–detection combination coils are used to obtain induced magnetic field signals near the imaging body [ 2 ], and then the conductivity distribution of the range to be measured is calculated by the reconstruction algorithm [ 3 , 4 ]. Because of its non-invasive and non-contact characteristics, MIT is suitable for geological exploration [ 5 ], industrial flaw detection [ 6 ], impurity detection [ 7 ], and medical imaging [ 8 ].…”