A sequential Bayesian based method for tracking and strain palpography estimation of arteries in intravascular ultrasound images

Nicolas Widynski, Jonathan Porée, Marie Hélène Roy Cardinal, Jacques Ohayon, Guy Cloutier, Damien Garcia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

This paper investigates the task of tracking and strain estimation of arteries in intravascular ultrasound images. A tracking method is proposed to extract the inner and the outer contours of the vessel wall (lumen/intima-media and intima-media/adventitia interfaces, respectively), and the deformations along them. This estimation is carried out by a non parametric sequential Bayesian method. The Bayesian modeling holds three ingredients: the prior, which is given by a manually defined segmentation of the contours on the first image; the transition, which is assumed to follow a Markovian random walk; and the likelihood, which is a distance between patches distributed along the contours. The underlying Bayesian posterior distribution is approximated using a sequential Monte Carlo approach. Experiments on three PVA-C phantoms present direct readings of the deformations along the lumen/intima-media contour.

Original languageEnglish (US)
Title of host publicationIEEE International Ultrasonics Symposium, IUS
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages515-518
Number of pages4
ISBN (Electronic)9781479970490
DOIs
StatePublished - Oct 20 2014
Event2014 IEEE International Ultrasonics Symposium, IUS 2014 - Chicago, United States
Duration: Sep 3 2014Sep 6 2014

Publication series

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

Conference

Conference2014 IEEE International Ultrasonics Symposium, IUS 2014
CountryUnited States
CityChicago
Period9/3/149/6/14

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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