Atherosclerotic Carotid Plaque Segmentation in Ultrasound Imaging of the Carotid Artery



In this chapter, we propose and evaluate an integrated system for the segmentation of atherosclerotic plaque in ultrasound imaging of the carotid artery based on normalization, speckle reduction filtering, and four different snakes segmentation methods. These methods are the Williams and Shah, Balloon, Lai and Chin, and the gradient vector flow (GVF) snake. The performance of the four different plaque snakes segmentation methods was tested on 80 longitudinal ultrasound images of the carotid artery using receiver operating characteristic (ROC) analysis and the manual delineations of an expert. All four methods performed very satisfactorily and similarly in all measures evaluated with no significant differences between them; however, the Lai and Chin snakes segmentation method gave slightly better results. Concluding, it is proposed that the integrated system investigated in this study could be used successfully for the automated segmentation of the carotid plaque.


Cholesterol Catheter Luminal Plague 









Asymptomatic carotid stenosis and risk of stroke


Automated segmentation


Advanced Technology Laboratories


Common carotid artery


Despeckle filter linear scaling mean variance




False-negative fraction


False-positive fraction


Ground truth


Gradient vector flow


Intima–media thickness


Intravascular ultrasound


Kappa index


Magnetic resonance


Magnetic resonance image




Receiver operating characteristics




Transient ischemic attack


True-negative fraction


True-positive fraction


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Copyright information

© Springer Science+Business Media, LLC 2014

Authors and Affiliations

  1. 1.Department of Computer ScienceSchool of Sciences and Engineering, IntercollegeLimassolCyprus
  2. 2.The Cyprus Institute of Neurology and GeneticsNicosiaCyprus

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