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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), S. 222506 - 222519.

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

http://dx.doi.org/10.1109/ACCESS.2020.3041796

https://publik.tuwien.ac.at/files/publik_293280.pdf