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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