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  Advances in MRzero: supervised learning of parallel imaging sequences including joint non-Cartesian trajectory and flip angle optimization

Glang, F., Loktyushin, A., Herz, K., Dang, H., Deshmane, A., Weinmüller, S., et al. (2021). Advances in MRzero: supervised learning of parallel imaging sequences including joint non-Cartesian trajectory and flip angle optimization. Poster presented at 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021).

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Glang, F1, 2, Author           
Loktyushin, A1, 2, Author           
Herz, K1, 2, Author           
Dang, HN, Author
Deshmane, A1, 2, Author           
Weinmüller, S, Author
Doerfler, A, Author
Maier, A, Author
Schölkopf, B3, Author           
Scheffler, K1, 2, Author           
Zaiss, M1, 2, Author           
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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 Abstract: Recently, MRzero has been proposed as a fully differentiable Bloch-equation-based MRI sequence invention framework. In this work, the approach is extended by parallel imaging capability, employing a CG SENSE reconstruction that allows optimizing for non-Cartesian sampling trajectories simultaneously with other sequence parameters like RF pulses and timings. The approach is tested herein by simulations on an in silico brain phantom and is found to yield improved reconstructions compared to regular Cartesian undersampling, and to simultaneously find variable flip angle patterns that compensate for transient signal induced blurring

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 Dates: 2021-05
 Publication Status: Published online
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Title: 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021)
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Start-/End Date: 2021-05-15 - 2021-05-20

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Title: 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 4200 Start / End Page: - Identifier: -