Research On Image Representation Of Intracranial Hemorrhage Based On Magnetic Induction

Brain magnetic induction tomography(BMIT)is a medical imaging technique with intracranial tissue electrical conductivity as an imaging target.Due to its non-contact and non-invasive,it has a potential advantage in the field of modern medical imaging.In order to meet the clinical requirements of real-time monitoring of intracranial lesions,this paper designs a set of filtered back-projection iterative reconstruction algorithm based on the existing BMIT image reconstruction algorithm,and extracts the one-dimensional quantitative monitoring indicators that have high sensitivity to the change of intracranial conductivity based on BMIT detection data,calibration of intracranial hemorrhage state.Firstly,according to the anatomical structure of human head,the three layers three-dimensional simplified craniocerebral model is simulated.The BMIT simulation system is established based on the craniocerebral model.The phase data of the detecting coils is obtained by calculating the positive problem,and the measured data is used for BMIT imaging and quantization.The effect of the outer brain structure on BMIT signal detection is investigated as well.Secondly,on the basis of back-projection algorithm and iterative algorithm,a new algorithm of brain magnetic induction iterative reconstruction based on filtered backprojection is proposed.The reconstructed conductivity distribution of filtered back-projection algorithm is processed by the correction coefficient as the initial value of one-step Newton iterative algorithm,and the characteristic threshold correction method is used to improve the disease degree of the sensitivity matrix.The algorithm improves the resolution of reconstructed image and accelerates the imaging speed.It is a fast and effective BMIT reconstruction algorithm.The total boundary phase value,the total relative change value,the total opposite point value and the total square sum of regression phase are obtained by establishing the quantization simulation platform to realize the estimation of the change of the disease.Finally,image and quantitative indicators are analyzed together based on the actual measurement system.The experimental results show that the proposed one-dimensional quantitative monitoring indicators and BMIT reconstruction images use in conjunction with each other,not only provides real-time trends and size of the change in the intracranial overall conductivity,but also provides the location information of the local change in the conductivity,which laid the foundation for the application of brain magnetic induction tomography in clinical monitoring.