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  MultiNet PyGRAPPA: A Novel Method for Highly Accelerated Metabolite Mapping

Nassirpour, S., Chang, P., & Henning, A. (2018). MultiNet PyGRAPPA: A Novel Method for Highly Accelerated Metabolite Mapping. Poster presented at Joint Annual Meeting ISMRM-ESMRMB 2018, Paris, France.

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Nassirpour, S1, 2, Author              
Chang, P1, 2, Author              
Henning, A1, 2, Author              
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1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528692              

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 Abstract: In this work, a novel acceleration method (MultiNet PyGrappa) is introduced which enables high in-plane acceleration factors for non-lipid suppressed 1H MRSI data. By using a variable density undersampling scheme and reconstructing the missing data points with multiple neural networks, this method enables a more robust reconstruction of highly undersampled data. High resolution metabolite maps acquired at 9.4T in the human brain using the proposed method are presented.

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 Dates: 2018-06
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: NassirpourCH2018_2
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Title: Joint Annual Meeting ISMRM-ESMRMB 2018
Place of Event: Paris, France
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Title: Joint Annual Meeting ISMRM-ESMRMB 2018
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 3375 Start / End Page: - Identifier: -