Health AI Central
Peer-Reviewed Publication
Magn Reson Med2021;86(4):1859-1872.October 1, 2021Journal Article

Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity-weighted coil combination.

Kerstin Hammernik1,2, Jo Schlemper3, Chen Qin1,4, Jinming Duan1,5, Ronald M Summers6, Daniel Rueckert1,2
1Department of Computing, Imperial College London, London, United Kingdom.
2Chair for AI in Healthcare and Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
3Hyperfine Research Inc., Guilford, CT, USA.
4Institute for Digital Communications, School of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
5School of Computer Science, University of Birmingham, Birmingham, United Kingdom.
6NIH Clinical Center, Bethesda, MD, USA.
PubMed DOI

Abstract

PURPOSE: To systematically investigate the influence of various data consistency layers and regularization networks with respect to variations in the training and test data domain, for sensitivity-encoded accelerated parallel MR image reconstruction. THEORY AND METHODS: Magnetic resonance (MR) image reconstruction is formulated as a learned unrolled optimization scheme with a down-up network as r…

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