Automatic Quantification of Extra-Medial Thickness in Carotid Ultrasound

Guillaume Zahnd, Michael Skilton, Nassir Navab

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Ultrasound imaging of the carotid artery is one of the most widely used technique to assess cardiovascular burden. Nevertheless, the established 'intima-media thickness' index fails to reflect some structural modifications that accompany atherosclerotic disease progression. For this reason, the 'extra-medial thickness' (EMT)index has been put forward, and was demonstrated to be associated with cardiovascular risk factors. The aim of this article is to present an automated framework based on contour segmentation to quantify the EMT. The method is based on a dual-step dynamic programming scheme to extract unambiguously the anatomical interfaces from different regions bearing a similar anatomical structure. Applied in vivo on 35 participants, the average accuracy was 115 ± 196 μm. Accordingly, the proposed method shows promising performance to perform automatic quantified measurements toward cardiovascular risk evaluation.

Original languageEnglish
Title of host publication2018 IEEE International Ultrasonics Symposium, IUS 2018
PublisherIEEE Computer Society
ISBN (Electronic)9781538634257
DOIs
StatePublished - 17 Dec 2018
Event2018 IEEE International Ultrasonics Symposium, IUS 2018 - Kobe, Japan
Duration: 22 Oct 201825 Oct 2018

Publication series

NameIEEE International Ultrasonics Symposium, IUS
Volume2018-October
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727

Conference

Conference2018 IEEE International Ultrasonics Symposium, IUS 2018
Country/TerritoryJapan
CityKobe
Period22/10/1825/10/18

Keywords

  • Cardiovascular risk
  • Carotid artery
  • Contour segmentation
  • Dynamic programming
  • Ultrasound

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