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

Endres, J; Dang, HN; Glang, F; Loktyushin, A; Weinmüller, S; Zaiss, M

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Meeting Abstract

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

MPS-Authors

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Glang, F
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Loktyushin, A
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zaiss, M
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://submissions.mirasmart.com/ISMRM2022/itinerary/ConferenceMatrixEventDetail.aspx?id=270
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Citation

Endres, J., Dang, H., Glang, F., Loktyushin, A., Weinmüller, S., & Zaiss, M. (2022). Phase distribution graphs for differentiable and efficient simulations of arbitrary MRI sequences. In Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (ISMRM 2022).

Cite as: https://hdl.handle.net/21.11116/0000-000A-5CC1-5

Abstract

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.