Carlos Castillo Passi

Carlos Castillo-Passi received a M.Sc degree in Electrical Engineering in 2018 from Pontificia Universidad Catolica de Chile. He is currently studying for a Ph.D. in Biomedical Engineering and Imaging Science Research, as a part of a joint degree between King's College London and Pontificia Universidad Catolica de Chile. His research interests include inverse problems, image reconstruction and formation, and MRI hardware.


15:00 UTC

KomaMRI.jl: Framework for MRI Simulations with GPU Acceleration

07/27/2023, 3:00 PM β€” 3:30 PM UTC

Koma is an MRI simulator utilizing CPU and GPU parallelization to solve the Bloch equations. Our simulator targets researchers and students, offering an easy-to-use GUI. The accuracy and speed of our simulator were compared against two open-source alternatives JEMRIS (C++, using an ODE solver) and MRiLab (C++ and CUDA). The results show that Koma can simulate with high accuracy (MAEs below 0.1% compared to JEMRIS) and better GPU performance than MRiLab.

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Pumas AIQuEra Computing Inc.Relational AIJeffrey Sarnoff

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Jolin.ioBeacon BiosignalsMIT CSAILBoeing

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