A new image reconstruction algorithm for real-time monitoring of conductivity and permeability changes in Magnetic Induction Tomography.
A linear image reconstruction algorithm for solving the Magnetic Induction Tomography inverse problem is presented. It's an optimization process to determine a reconstruction matrix that does the best mapping between a set of training parameter vectors and their respective measurements dictated by a forward model. It allows the simultaneous 3D reconstructions of the electric conductivity, electric permittivity and magnetic permeability. The results were compared with the ones obtained from a single-step regularized Gauss-Newton method and a reduction of 15% in the image error was verified. The behavior of the developed algorithm in a simulated clinical environment was also assessed using a realistic bio-impedance model of the human head, derived from a high resolution magnetic resonance image.
Telecommunications Institute, Lisbon, Portugal. jorge.caeiros@lx.it.pt
Jorge
J
Caeiros
Raul C
RC
Martins
Bruno
B
Gil
D000465:Algorithms; D004553:Electric Conductivity; D019047:Phantoms, Imaging; D014054:Tomography / Q000379:methods*