Automated segmentation of the individual branches of the carotid arteries in contrast-enhanced MR angiography using DeepMedic.

Journal: BMC medical imaging
PMID: 33639893

Abstract

BACKGROUND: Non-invasive imaging is of interest for tracking the progression of atherosclerosis in the carotid bifurcation, and segmenting this region into its constituent branch arteries is necessary for analyses. The purpose of this study was to validate and demonstrate a method for segmenting the carotid bifurcation into the common, internal, and external carotid arteries (CCA, ICA, ECA) in contrast-enhanced MR angiography (CE-MRA) data.

Authors

  • Magnus Ziegler
    Division of Cardiovascular Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden. magnus.ziegler@liu.se.
  • Jesper Alfraeus
    Division of Cardiovascular Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
  • Mariana Bustamante
    Division of Cardiovascular Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
  • Elin Good
    Division of Cardiovascular Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
  • Jan Engvall
    Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
  • Ebo de Muinck
    Division of Cardiovascular Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
  • Petter Dyverfeldt
    Division of Cardiovascular Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.

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