Open-source model-based reconstruction in Julia: A pipeline for spiral diffusion imaging
Alexander Jaffray1,2, Zhe (Tim) Wu1, Kamil Uludag3,4, and Lars Kasper1
1Techna Institute, University Health Network, Toronto, ON, Canada, 2UBC MRI Research Center, University of British Columbia, Vancouver, BC, Canada, 3Techna Institute & Koerner Scientist in MR Imaging, University Health Network, Toronto, ON, Canada, 4Biomedical Engineering, Center for Neuroscience Imaging Research, Institute for Basic Science, Sungkyunkwan University, Suwon, Korea, Republic of
We investigated the use of physically-motivated corrections for non-Cartesian imaging within a fast, open-source MR reconstruction framework written in the Julia programming language. Building on existing Julia libraries for MR image reconstruction, we developed a comprehensive, open-source pipeline for non-Cartesian image reconstruction including B0 inhomogeneity correction, gradient system characterization and eddy current correction. We demonstrated that spiral images can be reconstructed using this pipeline with high geometric accuracy in a fast, accessible and efficient manner on modest hardware.
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