Fast quantitative MRI as a nonlinear tomography problem

Quantitative Magnetic Resonance Imaging (MRI) is based on a two-steps approach: estimation of the magnetic moments distribution inside the body, followed by a voxel-by-voxel quantification of the human tissue properties. This splitting simplifies the computations but poses several constraints on the measurement process, limiting its efficiency. Here, we perform quantitative MRI as a one step process; signal localization and parameter quantification are simultaneously obtained by the solution of a large scale nonlinear inversion problem based on first-principles.

Source: Magnetic Resonance Imaging - November 2, 2017 Category: Radiology Authors: Alessandro Sbrizzi, Oscar van der Heide, Martijn Cloos, Annette van der Toorn, Hans Hoogduin, Peter R. Luijten, Cornelis A.T. van den Berg Source Type: research