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

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).

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 Creators:
Endres, J, Author
Dang, HN, Author
Glang, F1, Author              
Loktyushin, A1, Author              
Weinmüller, S, Author
Zaiss, M1, Author              
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 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.

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 Dates: 2022-05
 Publication Status: Published online
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Title: Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (ISMRM 2022)
Place of Event: London, UK
Start-/End Date: 2022-05-07 - 2022-05-12

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Title: Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (ISMRM 2022)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 0750 Start / End Page: - Identifier: -