Carotid Artery Wall Segmentation in Multispectral MRI by Coupled Optimal Surface Graph Cuts

AM Arias-Lorza, J Petersen, Arna van Engelen, Mariana Selwaness, Aad van der Lugt, Wiro Niessen, Marleen de Bruijne

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30 Citations (Scopus)


We present a new three-dimensional coupled optimal surface graph-cut algorithm to segment the wall of the carotid artery bifurcation from Magnetic Resonance (MR) images. The method combines the search for both inner and outer borders into a single graph cut and uses cost functions that integrate information from multiple sequences. Our approach requires manual localization of only three seed points indicating the start and end points of the segmentation in the internal, external, and common carotid artery. We performed a quantitative validation using images of 57 carotid arteries. Dice overlap of 0.86 +/- 0.06 for the complete vessel and 0.89 +/- 0.05 for the lumen compared to manual annotation were obtained. Reproducibility tests were performed in 60 scans acquired with an interval of 15 +/- 9 days, showing good agreement between baseline and follow-up segmentations with intraclass correlations of 0.96 and 0.74 for the lumen and complete vessel volumes respectively.
Original languageUndefined/Unknown
Pages (from-to)901-911
Number of pages11
JournalIEEE Transactions on Medical Imaging
Issue number3
Publication statusPublished - 2016

Research programs

  • EMC NIHES-03-30-01
  • EMC NIHES-03-30-03

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