Fast Group Matching For Magnetic Resonance Fingerprinting Reconstruction

摘要

Methods, apparatus, and other embodiments associated with producing a quantitative parameter map using magnetic resonance fingerprinting (MRF) are described. One example apparatus includes a data store that stores a grouped set of MRF signal evolutions, including a group representative signal and a low-rank representative, a set of logics that collects a received signal evolution from a tissue experiencing nuclear magnetic resonance (NMR) in response to an MRF excitation, a correlation logic that computes a correlation between a portion of the received signal evolution and a portion of a group representative signal, a pruning logic that generates a pruned grouped set, and a matching logic that determines matching quantitative parameters based on the received signal evolution and the low-rank representative.

主权项

1. A non-transitory computer-readable storage medium storing computer executable instructions that when executed by a computer control the computer to perform a method for producing a quantitative parameter map, comprising:
accessing a comprehensive dictionary of predicted magnetic resonance fingerprinting (MRF) signal evolutions, where a signal evolution includes complex values with an arbitrary phase relationship; generating a grouped dictionary based on the comprehensive dictionary, where the grouped dictionary includes a plurality of groups, where a group includes a plurality of correlated signal evolutions, a group representative signal that represents the group, and a group low-rank representative; accessing patient data, where the patient data includes a patient MRF signal evolution, where the patient MRF signal evolution includes complex values with an arbitrary phase relationship; comparing the patient MRF signal evolution with a threshold number of group representative signals; upon determining that the threshold number of group representative signals do not match the patient MRF signal evolution to within a desired threshold,
generating a pruned dictionary by removing from consideration, from the grouped dictionary, the groups represented by the threshold number of representative signals that do not match the patient MRF signal evolution; selecting a matched signal evolution by matching, to within a threshold quality of fit, the patient MRF signal evolution with a signal evolution in the pruned dictionary, where the matching is based on the group low-rank representative, where the threshold quality of fit is a dynamic, adaptive threshold; determining a quantitative parameter for the patient MRF signal evolution based on the matched signal evolution; and generating a quantitative parameter map based, at least part, on the quantitative parameter.