Myocardial Scar Quantification Using SLIC Supervoxels - Parcellation Based on Tissue Characteristic Strains

Popescu, IA, Irving, B, Borlotti, A et al. (2 more authors) (2017) Myocardial Scar Quantification Using SLIC Supervoxels - Parcellation Based on Tissue Characteristic Strains. In: STACOM 2016: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. International Workshop on Statistical Atlases and Computational Models of the Heart, 17 Oct 2016, Athens, Greece. Springer , pp. 182-190. ISBN 978-3-319-52717-8

Abstract

Metadata

Authors/Creators:
  • Popescu, IA
  • Irving, B
  • Borlotti, A
  • Dall'Armellina, E
  • Grau, V
Keywords: Right Ventricle; Late Gadolinium Enhancement; Radial Strain; Registration Algorithm; Late Gadolinium Enhancement Image
Dates:
  • Published: 2017
  • Published (online): 24 January 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM)
Funding Information:
FunderGrant number
British Heart FoundationFS/13/71/30378
Depositing User: Symplectic Publications
Date Deposited: 01 May 2018 09:38
Last Modified: 01 May 2018 09:38
Status: Published
Publisher: Springer
Identification Number: https://doi.org/10.1007/978-3-319-52718-5_20
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