Keywords: Quantitative Imaging, Quantitative Imaging
Motivation: MR-STAT is a transient-state qMRI technique that can deliver T1, T2 and proton density maps from a single short scan, even when Cartesian trajectories are used. The non-linear model-based MR-STAT reconstruction procedure is challenging and current state-of-the-art reconstructions take multiple hours for a 3D dataset.
Goal(s): In this work we aim to accelerate the MR-STAT reconstructions to make the technique more valuable for clinical practice.
Approach: A highly-optimized CUDA EPG simulator was developed and an optimization for signal computations for Cartesian trajectories has been discovered.
Results: High-resolution 3D knee and brain MR-STAT datasets can now be reconstructed in 12.5 and 25 minutes, respectively.
Impact: The tools are part of the COMPAS Toolkit that is available online. These tools are relevant to other researchers or educators that require high-performance Bloch/MRI simulations.
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