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Conference Paper

Removing T2 blurring in RARE sequences by using a DenseNet

MPS-Authors
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Loktyushin,  A
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Glang,  F
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Scheffler,  K
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
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;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

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.


Cite as: https://hdl.handle.net/21.11116/0000-0009-7869-B
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.