A Comparative Study on Assessment of Carotid Artery Using Various Techniques

S. Mounica, B. Thamotharan and S. Ramakrishnan ()
Additional contact information
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

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 649-662 from Springer

Abstract: 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.

Keywords: Intima media thickness; CCA segmentation; Ultrasound; Stroke (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_64

Ordering information: This item can be ordered from
http://www.springer.com/9783030418625

DOI: 10.1007/978-3-030-41862-5_64

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().