Magnetic resonance fingerprinting (Ma et al, Nature, 2013) is a method for estimating multiple spatially varying medium parameters from a single MRI experiment. It differs from standard MRI in that spins are not brought to a stationary state, as RF flip angles and repetition times may vary during the entire experiment. We will discuss a mathematical model for MRF imaging and a quantitative basis for the choice of the various parameters.

This presentation is part of Contributed Presentation “CP4 - Contributed session 4”

Authors:

Chris Stolk (University of Amsterdam)

Keywords:

image reconstruction, inverse problems, magnetic resonance imaging