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 \pm 0.06 for the complete vessel and 0.89 pm 0.05 for the lumen compared to manual annotation were obtained. Reproducibility tests were performed in 60 scans acquired with an interval of 15 \pm 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.

Additional Metadata
Keywords Carotid artery, Magnetic resonance imaging (MRI), Optimal surface graph, Wall segmentation
Persistent URL dx.doi.org/10.1109/TMI.2015.2501751, hdl.handle.net/1765/81540
Journal IEEE Transactions on Medical Imaging
Rights No subscription
Citation
Arias Lorza, A.M.A, Petersen, J, van Engelen, A, Selwaness, M, van der Lugt, A, Niessen, W.J, & de Bruijne, M. (2016). Carotid Artery Wall Segmentation in Multispectral MRI by Coupled Optimal Surface Graph Cuts. IEEE Transactions on Medical Imaging, 35(3), 901–911. doi:10.1109/TMI.2015.2501751