Constrained Image Reconstruction for Magnetic Detection Electrical Impedance Tomography

摘要

Magnetic detection electrical impedance tomography (MD-EIT) produces images of conductivity from magnetic field measurements taken around the body. The ill-conditioned nature of the MD-EIT inverse problem is improved by limiting the number of unknowns to be solved. In this article, a method of iterative grid refinement for MD-EIT, which produces images significantly better than unconstrained solutions, is described.