Study on the impact of brain structure on BMIT signal detection

Abstract

Brain magnetic induction tomography (BMIT) is a new brain medical imaging technology, which reflects the electrical conductivity distribution of brain based on impedance measurements. The aim of this paper is to study the effect of brain structure to BMIT signal detection through simulation. Firstly, a three-dimensional simplified brain model of three layers is established. A new BMIT simulation system is presented based on the new brain model. Secondly, Comsol software is used to simulate the effects of the brain structure conductivity to BMIT signal detection. Finally, the phase data at the imaging region boundary coil is collected. The results show that the skull to BMIT signal is attenuation, the attenuation ratio of 0.318, and the scalp to BMIT signal is enhanced, the enhance ratio of 0.091. Combined with the method of the phase standardization, the influence of the brain structure on the BMIT signal detection is reduced, and the distribution of conductivity is more accurate.