Abstract #2815
MRIsim.jl: A framework for end-to-end spin-level MRI simulations with GPU acceleration
Carlos Castillo-Passi1,2,3, Ronal Coronado2,3,4, Sergio Uribe2,3,5, and Pablo Irarrazaval1,2,3,4
1Institute of Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 2Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 3Millennium Nucleus in Cardiovascular Magnetic Resonance, Cardio MR, Santiago, Chile, 4Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 5Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
Synopsis
In this work, we proposed a GPU-enabled MRI simulation framework written in Julia. The primary purpose of this simulator is to evaluate imaging pipelines from the acquisition to the reconstruction. To showcase this, we simulated two variations of an MRF sequence with radial acquisitions and then reconstructed using two methods. We demonstrated that this framework aids users to quickly write and test state-of-the-art MRI techniques and showed its potential to compare imaging pipelines in quantitative mapping.
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