Study on back projection iteration reconstruction method based on sensitivity matrix for Magnetic Induction Tomography

Abstract:
Magnetic induction tomography (MIT) is termed as a non-contact methodology that can be monitored and has an extensive array of applications, nevertheless, its low sensitivity, together with low spatial resolution, constrain its development. The current paper puts forward a MIT reconstruction methodology, which is based on the back projection iterative (BPI) algorithm. Firstly, it simulates the MIT system and computes the brain conductivity distribution for the intracranial hemorrhage; secondly, it modifies the back-projection path, which is based on the magnetic field line, for the improvement of the location of precise rate of the reconstruction methodology, whereas, iteration is adopted for the acceleration of the reconstruction speed. In comparison with the back projection (BP) reconstruction methodology and iterative reconstruction methodology of MIT, having different electrical conductivities, in addition to different positions and different amounts of brain bleeding, the methodology of the current paper enhances both the accuracy and speed of MIT, together with promoting the development of intracranial hemorrhage monitoring by MIT.