Oscar van der Heide1,2, Alessandro Sbrizzi1,2, and Cornelis van den Berg1
1Computational Imaging Group for MR Diagnostics and Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Radiology, Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht, Netherlands
1Computational Imaging Group for MR Diagnostics and Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Radiology, Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht, Netherlands
The multi-parametric quantitative MR-STAT reconstruction algorithm was implemented on GPU's using the Julia programming language, allowing for high-resolution in-vivo parameter maps to be reconstructed in two minutes per slice.
In-vivo MR-STAT reconstruction times for a matrix size of 224 × 224 (1 mm2 in-plane resolution) using various implementations of the reconstruction algorithm.
In-vivo parameter maps reconstructed using MR-STAT. The data was acquired from a healthy volunteer on a 3T MR system using a Cartesian, gradient-spoiled acquisition with varying flip angles. The total scan time was 9.9 s. The reconstruction time on the GPU was 2 minutes whereas before, using the same reconstruction algorithm, the reconstruction would take 3 hours using 96 CPU's on a computing cluster.
