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Abstract #4223

Accelerated post-processing of MR fingerprinting data using partial signal library construction

Akash P. Kansagra 1 and Christopher P. Hess 1

1 Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States

MR fingerprinting is based on the application of a pseudorandom pulse sequence to a tissue of interest and comparing the resulting signal to a large library of simulated signals corresponding to a variety of T1, T2, and resonance offsets. Computing this library is computationally expensive. Here, we outline a simultaneous simulation-matching algorithm that allows partial construction of the signal library. Using this method, we demonstrate increases in execution speed nearing two orders of magnitude. The algorithm described is a simple and straightforward means to accelerate the post-processing portion of the MR fingerprinting method.

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