Publications in Scientific Journals:

J. Dorazil, R. Repp, T. Kropfreiter, R. Prüller, K. Riha, F. Hlawatsch:
"Tracking carotid artery wall motion using an unscented Kalman filter and data fusion";
IEEE Access, 8 (2020), 222506 - 222519.

English abstract:
Analyzing the motion of the common carotid artery (CCA) wall yields effective indicators for atherosclerosis. In this work, we propose a state-space model and a tracking method for estimating the time-varying CCA wall radius from a B-mode ultrasound sequence of arbitrary length. We employ an unscented Kalman filter that fuses two sets of measurements produced by an optical flow algorithm and a CCA wall localization algorithm. This fusion-and-tracking approach ensures that feature drift, which tends to impair optical flow based methods, is compensated in a temporally consistent manner. Simulation results show that the proposed method outperforms a recently proposed optical flow based method.

Atherosclerosis, data fusion, unscented Kalman Filter, motion estimation, ultrasonography, carotid artery, medical imaging, ultrasound imaging

"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.