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Poster

Automatic reconstruction of arbitrary MRI sequences based on phase distribution graphs

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;

External Resource

https://submissions.mirasmart.com/ISMRM2022/Itinerary/ConferenceMatrixEventDetail.aspx?ses=D-17
(Abstract)

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Citation

Endres, J., Dang, H., Glang, F., Loktyushin, A., Weinmüller, S., & Zaiss, M. (2022). Automatic reconstruction of arbitrary MRI sequences based on phase distribution graphs. Poster presented at Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (ISMRM 2022), London, UK.


Cite as: https://hdl.handle.net/21.11116/0000-000A-5C7D-4
Abstract
Distribution Graph of a sequence and its simulation. The estimator can then be used on a measurement to split the signal into its differently encoded parts, which enables reconstruction tailored to the sequence used. This approach can result in fewer imaging artifacts since it does not rely on any assumptions about the sequence made up front but on data obtained by a PDG simulation. This also makes it suitable for sequence optimization because it can adapt to changing sequence properties.