A hybrid model‐ and deep learning‐based framework for functional lung image synthesis from multi‐inflation CT and hyperpolarized gas MRI

Astley, J.R., Biancardi, A.M., Marshall, H. et al. (5 more authors) (2023) A hybrid model‐ and deep learning‐based framework for functional lung image synthesis from multi‐inflation CT and hyperpolarized gas MRI. Medical Physics. ISSN 0094-2405

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2023 The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/
Keywords: Functional lung imaging; CT ventilation; Hyperpolarized gas MRI; Deep learning; Image synthesis
Dates:
  • Accepted: 4 March 2023
  • Published (online): 1 April 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > The Medical School (Sheffield) > Division of Genomic Medicine (Sheffield) > Department of Oncology and Metabolism (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 22 Mar 2023 12:27
Last Modified: 14 Apr 2023 13:01
Status: Published
Publisher: Wiley
Refereed: Yes
Identification Number: https://doi.org/10.1002/mp.16369

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