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  Removing T2 blurring in RARE sequences by using a DenseNet

Dang, H., Endres, J., Weinmüller, S., Loktyushin, A., Glang, F., Scheffler, K., et al. (2021). Removing T2 blurring in RARE sequences by using a DenseNet. In 23rd Annual Meeting of the German Chapter of the ISMRM (pp. S82-S83). Zürich, Switzerland: ETH Zürich.

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 Creators:
Dang, HN, Author
Endres, J, Author
Weinmüller, S, Author
Loktyushin, A1, 2, Author              
Glang, F1, 2, Author              
Scheffler, K1, 2, Author              
Doerfler, A, Author
Maier, A, 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              

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 Abstract: We propose a method to reduce blurring in RARE sequences along phase en-coding direction due to T2 decay during k-space acquisition. A convolutional neural net-work is employed to map simulated RARE im-ages to the transversal magnetization of the central echo.

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 Dates: 2021-09
 Publication Status: Published online
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Title: 23rd Annual Meeting of the German Chapter of the ISMRM (DS ISMRM 2021)
Place of Event: Zürich, Switzerland
Start-/End Date: 2021-09-09 - 2021-09-10

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Title: 23rd Annual Meeting of the German Chapter of the ISMRM
Source Genre: Proceedings
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Publ. Info: Zürich, Switzerland : ETH Zürich
Pages: - Volume / Issue: - Sequence Number: V24 Start / End Page: S82 - S83 Identifier: -