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DORAZIL, J. REPP, R. KROPFREITER, T. PRÜLLER, R. ŘÍHA, K. HLAWATSCH, F.
Original Title
A Multitarget Tracking Method for Estimating Carotid Artery Wall Motion from Ultrasound Sequences
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Atherosclerosis, common carotid artery, ultrasound video processing, speckle tracking, multitarget tracking, joint integrated probabilistic data association (JIPDA) filter.
Authors
DORAZIL, J.; REPP, R.; KROPFREITER, T.; PRÜLLER, R.; ŘÍHA, K.; HLAWATSCH, F.
Released
2. 9. 2019
Publisher
European Signal Processing Conference, EUSIPCO
Location
Španělsko
ISBN
978-9-0827-9703-9
Book
2019 27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)
Pages from
1
Pages to
5
Pages count
URL
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8902772
BibTex
@inproceedings{BUT159271, author="Jan {Dorazil} and Rene {Repp} and Thomas {Kropfreiter} and Richard {Prüller} and Kamil {Říha} and Franz {Hlawatsch}", title="A Multitarget Tracking Method for Estimating Carotid Artery Wall Motion from Ultrasound Sequences ", booktitle="2019 27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)", year="2019", pages="1--5", publisher="European Signal Processing Conference, EUSIPCO", address="Španělsko", doi="10.23919/EUSIPCO.2019.8902772", isbn="978-9-0827-9703-9", url="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8902772" }