Motion
is one of the biggest challenges in clinical MRI. The
recently introduced Magnetic Resonance Fingerprinting (MRF) has been shown to
be less sensitive to motion. However, it is still susceptible to patient motion
primarily occurring in the early stages of the acquisition. In this study, we
propose a novel reconstruction algorithm for MRF, which uses robust fitting and
image registration algorithms to decrease the motion sensitivity of MRF. The evaluation was performed in numerical
phantoms with simulated rigid motion.
