Induced current magnetic resonance-electrical impedance tomography

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Electrical Engineering

Background:

• Magnetic resonance-electrical impedance tomography (MR-EIT) is an established conductivity imaging technique.
• Traditional MR-EIT methods often rely on surface electrodes, which can introduce artifacts.
• There is a need for artifact-free conductivity imaging methods.

Purpose of the Study:

• To introduce a new MR-EIT method using induced currents instead of surface electrodes.
• To eliminate electrode-related artifacts in MR-EIT.
• To develop a reconstruction algorithm for this novel induced current MR-EIT.

Main Methods:

• Proposed induced current magnetic resonance-electrical impedance tomography (MR-EIT).
• Utilized external coils to induce currents within the object.
• Developed a 3D iterative reconstruction algorithm based on secondary magnetic flux density measurements.
• Designed a specific MRI pulse sequence for magnetic flux density measurement.

Main Results:

• Eliminated artifacts associated with surface electrodes.
• Successfully reconstructed absolute conductivity images without peripheral voltage measurements.
• Numerical simulations demonstrated the algorithm's effectiveness in both noise-free and noisy conditions.
• Identified that at least two current induction profiles significantly improve image quality.

Conclusions:

• Induced current MR-EIT is a viable method for artifact-free conductivity imaging.
• The proposed method enables absolute conductivity reconstruction.
• This technique offers a promising advancement in medical imaging for conductivity mapping.