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Abstract #0135

Accelerated Magnetic Resonance Fingerprinting using Soft-weighted key-Hole (MRF-SOHO)

Gastao Cruz1, Andreia S. Gaspar1, Tom Bruijnen2, René Botnar1, and Claudia Prieto1

1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2Center for image sciences, University Medical Center Utrecht, Utrecht, Netherlands

Magnetic Resonance Fingerprinting estimates multi-parametric maps from a series of highly undersampled time-point images. However, MRF scan times are still long due to the large amount of time-point images (~1000) required to produce accurate multi-parametric maps. Here we propose to exploit redundant information in time-point images with similar contrast to accelerate the MRF scan by further undersampling each time-point image and/or significantly reducing the number of required images in the series. The proposed approach achieved an acceleration factor of 5.7× compared to conventional undersampled MRF while maintaining parametric map quality.

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