MR-STAT is a multi-parametric quantitative MR framework with computationally demanding reconstructions. In this work we implemented the reconstruction algorithm on the GPU using the Julia programming language, a language that allows for quick prototyping without sacrificing on performance. We demonstrate superior runtime-performance of the GPU implementation as compared to previously proposed implementations running on a cluster of CPU's. With the proposed implementation, high-resolution in-vivo parameter maps can be reconstructed in approximately two minutes. The proposed implementation can also be used to rapidly generate MR Fingerprinting dictionaries and is shown to outperform the native CUDA implementation from SnapMRF.
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