Talks and Poster Presentations (with Proceedings-Entry):
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";
Talk: 27th European Signal Processing Converence, EUSIPCO 2019,
- 09-06-2019; in: "European Signal Processing Conference",
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.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.