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Miscellaneous 2018

MultiNet PyGRAPPA: A Novel Method for Highly Accelerated Metabolite Mapping

{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.}

Author(s): Nassirpour, S and Chang, P and Henning, A
Book Title: Joint Annual Meeting ISMRM-ESMRMB 2018
Year: 2018
Bibtex Type: Miscellaneous (misc)
Electronic Archiving: grant_archive

BibTex 

@misc{NassirpourCH2018_2,
  title = {{MultiNet PyGRAPPA: A Novel Method for Highly Accelerated Metabolite Mapping}},
  booktitle = {{Joint Annual Meeting ISMRM-ESMRMB 2018}},
  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.}},
  year = {2018},
  slug = {nassirpourch2018_2},
  author = {Nassirpour, S and Chang, P and Henning, A}
}