Dictionary search for the reconstruction of MR Fingerprinting-based sequences can become a bottleneck due to the exponential growth of dictionary size with the number of parameters. Several approaches have been proposed to accelerate this search, yet the availability of efficient and scalable software implementations remains limited. Here, we extended an existing, highly optimized similarity search library to be compatible with the requirements of MR Fingerprinting dictionary search. The evaluation of our GPU implementation shows an acceleration by two orders of magnitude over the brute-force search yielding identical results for 99.9 % of the voxels.
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