Abstract #2435

Open-source model-based reconstruction in Julia: A pipeline for spiral diffusion imaging

Alexander Jaffray^1,2, Zhe (Tim) Wu¹, Kamil Uludag^3,4, 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

Synopsis

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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