On the computational assessment of white matter hyperintensity progression: difficulties in method selection and bias field correction performance on images with significant white matter pathology

Valdes Hernandez, M.D.C., Gonzalez-Castro, V., Ghandour, D.T. et al. (5 more authors) (2016) On the computational assessment of white matter hyperintensity progression: difficulties in method selection and bias field correction performance on images with significant white matter pathology. NEURORADIOLOGY, 58 (5). pp. 475-485. ISSN 0028-3940

Abstract

Metadata

Authors/Creators:
  • Valdes Hernandez, M.D.C.
  • Gonzalez-Castro, V.
  • Ghandour, D.T.
  • Wang, X.
  • Doubal, F.
  • Maniega, S.M.
  • Armitage, P.A.
  • Wardlaw, J.M.
Copyright, Publisher and Additional Information: © The Author(s) 2016 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Keywords: MRI; Cerebrovascular disorders; Leukoencephalopathies; White matter hyperintensities; Neuroimaging
Dates:
  • Published: 1 May 2016
  • Published (online): 30 January 2016
  • Accepted: 11 January 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Cardiovascular Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 13 Jul 2016 12:23
Last Modified: 13 Jul 2016 12:29
Published Version: http://dx.doi.org/10.1007/s00234-016-1648-3
Status: Published
Publisher: Springer Verlag
Refereed: Yes
Identification Number: https://doi.org/10.1007/s00234-016-1648-3
Related URLs:

Share / Export

Statistics