A Multitarget Tracking Method for Estimating Carotid Artery Wall Motion from Ultrasound Sequences

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU133670" target="_blank" >RIV/00216305:26220/19:PU133670 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8902772" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8902772</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/EUSIPCO.2019.8902772" target="_blank" >10.23919/EUSIPCO.2019.8902772</a>

Result language
angličtina
Original language name
A Multitarget Tracking Method for Estimating Carotid Artery Wall Motion from Ultrasound Sequences
Original language description
Analyzing the motion of the wall of the common carotid artery (CCA) yields effective indicators for atherosclerosis. In this work, we explore the use of multitarget tracking techniques for estimating the timevarying CCA radius from an ultrasound video sequence. We employ the joint integrated probabilistic data association (JIPDA) filter to track a set of “feature points” (FPs) located around the CCA wall cross section. Subsequently, we estimate the time-varying CCA radius via a nonlinear least-squares method and a Kalman filter. The application of the JIPDA filter is enabled by a linearized state-space model describing the quasiperiodic movement of the FPs and the measurement extraction process. Simulation results using the Field II ultrasound simulation program show that the proposed multitarget tracking method can outperform a state-of-the-art method.
Czech name
—
Czech description
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Project
<a href="/en/project/GA17-19638S" target="_blank" >GA17-19638S: Sequential Bayesian Estimation of Arterial Wall Motion</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2019 27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)
ISBN
978-9-0827-9703-9
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
1-5
Publisher name
European Signal Processing Conference, EUSIPCO
Place of publication
Španělsko
Event location
A Coruña
Event date
Sep 2, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000604567700203

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