Tracking Carotid Artery Wall Motion Using an Unscented Kalman Filter and Data Fusion

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 unscent...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Jan Dorazil, Rene Repp, Thomas Kropfreiter, Richard Pruller, Kamil Riha, Franz Hlawatsch
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2020-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Atherosclerosis data fusion unscented Kalman Filter motion estimation ultrasonography carotid artery
Online-Zugang:	https://ieeexplore.ieee.org/document/9274301/
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