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  Automatic reconstruction of arbitrary MRI sequences based on phase distribution graphs

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.

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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: 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.

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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: 2351 Start / End Page: - Identifier: -