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Conductivity and current density image reconstruction using harmonic Bz algorithm in magnetic resonance electrical
Suk Hoon Oh1, Byung Il Lee, Eung Je Woo
1Graduate School of East-West Medical Sciences, Kyung Hee University, Korea.
Physics in Medicine and Biology
|October 29, 2003
Summary
Magnetic Resonance Electrical Impedance Tomography (MREIT) successfully reconstructed conductivity and current density images. This imaging technique shows promise for in vitro and in vivo studies, with potential for human applications.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Electrical Engineering
Background:
- Magnetic Resonance Electrical Impedance Tomography (MREIT) is an imaging modality for visualizing conductivity distributions within a subject.
- MREIT utilizes MRI scanners to measure magnetic flux density components induced by injected currents.
Purpose of the Study:
- To present the harmonic Bz algorithm for MREIT image reconstruction.
- To demonstrate the capability of reconstructing conductivity and current density images using MREIT.
Main Methods:
- The harmonic Bz algorithm was employed, relating magnetic flux density (Bz) to conductivity distribution (sigma).
- Computer simulations and phantom experiments with a 0.3 T MRI scanner were conducted.
- A saline phantom with polyacrylamide objects and four recessed electrodes injecting six different currents were used.
Main Results:
- Reconstructed conductivity and current density images with 82x82 pixels (0.6x0.6 mm2 pixel size) were obtained.
- Relative L2 errors ranged from 13.8% to 21.5% at an SNR of approximately 30.
- The feasibility of in vitro and in vivo studies with animal subjects was suggested.
Conclusions:
- The harmonic Bz algorithm effectively reconstructs conductivity and current density images using MREIT.
- The MREIT technique shows potential for future biomedical imaging applications.
- Further research is needed to reduce injection current levels for human subject applications.