HIGH-DIMENSIONAL PARAMETER DETERMINATION BASED ON MR FINGERPRINTING MEASUREMENTS

The present invention concerns a method for determining an estimated value for different parameters on the basis of one or more acquired signals obtained during a Magnetic Resonance Fingerprinting measurement. The method includes an iterative approach, where some parameters are treated as free parameters and the values of other parameters are provisionally set to an assumed value for creating a dictionary. In a subsequent iterative step, the values obtained by matching for previously free parameters are used to set these parameters, and previously set parameters are treated as free parameters. In some embodiments, the accuracy of the estimated is improved by a functional or correlational part, in which a correlation of parameters with a global parameter is used.