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A Comparative Study on Assessment of Carotid Artery Using Various Techniques

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • S. Mounica

    (School of Computing, SASTRA Deemed-to-Be-University)

  • B. Thamotharan

    (School of Computing, SASTRA Deemed-to-Be-University)

  • S. Ramakrishnan

    (School of Computing, SASTRA Deemed-to-Be-University)

Abstract

The main cause of atherosclerosis is stroke. To evaluate this disease, the assurance of the surface density [Intima-Media Thickness (IMT)], portrait about atherosclerotic carotid plaque, assessment about width of common carotid artery (CCA), along with their classifying of stenosis to be done. This proposed paper presents the analysis that considers the design and automated arrangement article achieving automated or semi-automated bisection in the ultrasound image and the CCA. These automated systems are developed based on the techniques are edge detection, active contours, level sets, dynamic programming, local statistics, Hough transform, statistical modeling, neural networks, and also with assimilation of the raised approach. To identify the best segmentation method, the techniques proposed in the literature are implemented in the different stages and CCA segmentation approach, forthcoming viewpoint, and more expansion of the approach is ultrasound carotid bisection and wall tracking of CCA.

Suggested Citation

  • S. Mounica & B. Thamotharan & S. Ramakrishnan, 2020. "A Comparative Study on Assessment of Carotid Artery Using Various Techniques," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 649-662, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_64
    DOI: 10.1007/978-3-030-41862-5_64
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