International Society for Industrial Process Tomography

Optimization of MIT Sensor Array for Local Hemorrhage Detection

Y. X. Chen, C.Tan, F. Dong^*

Tianjin Key Laboratory of Process Measurement and Control

School of Electrical and Information Engineering, Tianjin University, Tianjin, China

^*Email: fdong@tju.edu.cn

ABSTRACT

Magnetic induction tomography (MIT) is a promising technology in the intracranial hemorrhage imaging. Due to the low conductivity of biological tissues, the phase shift measurements are too small to be accurately detected, which will reduce the imaging quality of the hemorrhage. In order to increase the sensitivity of the sensors to the hemorrhage and increase the phase shift measurements, a planar MIT sensor array with gradiometers for local hemorrhage imaging is designed. Based on the sensitivity analysis, the parameters of the MIT sensor array, which includes: coil spacing , inner diameter , excitation-detection distance  and distance difference  were optimized. To obtain the optimal sensor parameters to make the MIT sensor array have better detection accuracy and imaging quality, an optimization criterion , which comprehensively considering the intensity and uniformity of the sensitivity matrix within the region of interest (ROI) was introduced. Moreover, the absolute average sensitivity at different detection depth was also calculated to evaluate and compare the detectable depth of the sensor arrays under different parameters. After the optimization, the optimal parameters of the sensor array, which make  reach the maximum are determined. The results indicate that under the optimal parameters, the absolute average sensitivity at any depth is always the largest. This work provides a solution to improve the detection accuracy and imaging quality of the intracranial hemorrhage by MIT.

Keywords: Coil optimization, hemorrhage detection, magnetic induction tomography, sensor array

Industrial Application: Healthcare, medical engineering