Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
J. Dorazil, R. Repp, T. Kropfreiter, R. Prüller, K. Riha, F. Hlawatsch:
"A Multitarget Tracking Method for Estimating Carotid Artery Wall Motion from Ultrasound Sequences";
Vortrag: 27th European Signal Processing Converence, EUSIPCO 2019,
A Coruna;
02.09.2019
- 06.09.2019; in: "European Signal Processing Conference",
IEEE,
A Coruna
(2019),
ISBN: 978-9-0827-9703-9;
S. #
- ?.
Kurzfassung englisch:
Analyzing the motion of the wall of the common carotid artery (CCA) yields effective indicators for atheroscle-rosis. In this work, we explore the use of multitarget tracking techniques for estimating the time-varying CCA radius from an ultrasound video sequence. We employ the joint integrated probabilistic data association (JIPDA) filter to track a set of "featurepoints" (FPs) located around the CCA wall cross section. Subsequently, we estimate the time-varying CCA radius via a non-linear least-squares method and a Kalman filter. The application of the JIPDA filter is enabled by a linearized state-space model describing the quasi-periodic 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.
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.23919/EUSIPCO.2019.8902772
Elektronische Version der Publikation:
https://publik.tuwien.ac.at/files/publik_284502.pdf
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.