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Abstract #1353

Fast Analytical Solution for Extreme Unaliasing of MR Fingerprinting Image Series

Eric Y. Pierre1, Mark A. Griswold2,3, and Alan Connelly1

1Imaging Division, The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, 2Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 3Radiology, Case Western Reserve University & University Hospitals, Cleveland, OH, United States

A non-iterative analytical solution to the MRF image reconstruction problem is presented. The method performs a direct interpolation of the acquired k-space points based on a singular-vector basis of fingerprints from a first-pass MRF estimate. The method is shown to drastically reduce spatio-temporal aliasing, allowing accurate T1 and T2 measurements for a single slice with a 7.6s acquisition, without need for auto-calibration data, and with computational overhead an order of magnitude faster than previously reported iterative image-based methods.

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