Identification of sampling patterns for high‐resolution compressed sensing MRI of porous materials: ‘learning’ from X‐ray microcomputed tomography data-Reference-Cited by-同舟云学术

Identification of sampling patterns for high‐resolution compressed sensing MRI of porous materials: ‘learning’ from X‐ray microcomputed tomography data

Published:2019-11 Issue:2 Volume:276 Page:63-81
ISSN:0022-2720
Container-title:Journal of Microscopy
language:en
Short-container-title:Journal of Microscopy

Author:

KARLSONS K.¹,DE KORT D.W.¹^ORCID,SEDERMAN A.J.¹^ORCID,MANTLE M.D.¹^ORCID,DE JONG H.²,APPEL M.³,GLADDEN L.F.¹^ORCID

Affiliation:

1. Magnetic Resonance Research Centre, Department of Chemical Engineering and BiotechnologyUniversity of Cambridge Cambridge U.K.

2. Shell Technology Center HoustonShell Exploration and Production Inc. Houston Texas U.S.A.

3. Shell Technology Centre AmsterdamShell Global Solutions International B.V. Amsterdam The Netherlands

Publisher

Wiley

Subject

Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jmi.12837

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