Publication result detail

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

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

English Title

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

Type

Paper in proceedings (conference paper)

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.

English 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.

Key words in English

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.

RIV year

2020

Released

02.09.2019

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

5

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"
}