Evaluation of three-dimensional anisotropic head model for mapping realistic electromagnetic fields of brain tissues
Source abstract
Abstract
Electromagnetic fields provide fundamental data for the imaging of electrical tissue properties, such as conductivity and permittivity, in recent magnetic resonance (MR)-based tissue property mapping. The induced voltage, current density, and magnetic flux density caused by externally injected current are critical factors for determining the image quality of electrical tissue conductivity. As a useful tool to identify bio-electromagnetic phenomena, precise approaches are required to understand the exact responses inside the human body subject to an injected currents. In this study, we provide the numerical simulation results of electromagnetic field mapping of brain tissues using a MR-based conductivity imaging method. First, we implemented a realistic three-dimensional human anisotropic head model using high-resolution anatomical and diffusion tensor MR images. The voltage, current density, and magnetic flux density of brain tissues were imaged by injecting 1 mA of current through pairs of electrodes on the surface of our head model. The current density map of anisotropic brain tissues was calculated from the measured magnetic flux density based on the linear relationship between the water diffusion tensor and the electrical conductivity tensor. Comparing the current density to the previous isotropic model, the anisotropic model clearly showed the differences between the brain tissues. This originates from the enhanced signals by the inherent conductivity contrast as well as the actual tissue condition resulting from the injected currents.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced MRI Techniques and Applications · Electrical and Bioimpedance Tomography · Ultrasound Imaging and Elastography
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Kyung Hee University 1 Department of Biomedical Engineering, , Seoul 130-701, Korea
Yonsei University 2 Department of Computational Science & Engineering, , Seoul 120-749, Korea
Konkuk University 3 Department of Mathematics, , Seoul 143-701, Korea
Funding
Ministry of Health and Welfare · National Research Foundation of Korea
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