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Abstract #0750

Phase distribution graphs for differentiable and efficient simulations of arbitrary MRI sequences

Jonathan Endres1, Hoai Nam Dang1, Felix Glang2, Alexander Loktyushin2, Simon Weinmüller1, and Moritz Zaiss1,2
1Department of Neuroradiology, Universit├Ątsklinik Erlangen, Erlangen, Germany, 2Magnetic Resonance Center, Max-Planck-Institute for Biological Cybernetics, T├╝bingen, Germany


We propose an alternate method for simulating arbitrary MRI sequences, forming complete Bloch simulations. It is closely related to Extended Phase Graphs but imposes no restrictions on the alignment of timing or gradients, extends it to support T2' relaxation and 3D gradient encoding, is fully differentiable, provides additional insight into the composition of the measured signal while outperforming isochromat-based Bloch simulations in execution speed by using an analytical description of the signal instead of relying on a Monte-Carlo simulation.

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