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Abstract #4083

Zero-Dimensional Self Navigated Autofocus for Motion Corrected Magnetic Resonance Fingerprinting

Gastao Cruz1, René M Botnar1, and Claudia Prieto1

1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom

Magnetic Resonance Fingerprinting (MRF) provides simultaneous multi-parametric maps from a continuous transient state acquisition of many time-point images. Motion occurring during the MRF acquisition can create artefacts in the consequent T1/T2 maps. Here we propose to derive an intermediate 1D motion model from the acquired MRF data itself via self-navigation of the k-space central point and further refine the motion estimates using an autofocus algorithm for MRF motion correction. The proposed approach was evaluated in simulations.

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