In a method and device for fingerprinting magnetic resonance imaging, a first sequence of MR data is acquired within a region of interest using a fingerprinting magnetic resonance pulse sequence; the first sequence of MR data is input to a neural network; a second sequence of MR data from the neural network is output from the neural network, the second sequence of MR data having reduced undersampling/aliasing artifacts and/or noise compared to the first sequence of MR data; values of at least one quantitative parameter are determined for the region of interest based on the second sequence of MR data; and a quantitative parameter map of the at least one quantitative parameter for the region of interest is constructed based on the determined values.
METHODS AND SYSTEMS FOR FINGERPRINTING MAGNETIC RESONANCE IMAGING AND MACHINE LEARNING