Abstract #4256

Image Registration and Robust Fitting for Motion Insensitive Magnetic Resonance Fingerprinting (MRF)

Bhairav Bipin Mehta¹, Dan Ma¹, and Mark Alan Griswold¹

¹Radiology, Case Western Reserve University, Cleveland, OH, United States

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.

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