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

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...

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Bibliographic Details
Main Authors: Jan Dorazil, Rene Repp, Thomas Kropfreiter, Richard Pruller, Kamil Riha, Franz Hlawatsch
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Atherosclerosis
data fusion
unscented Kalman Filter
motion estimation
ultrasonography
carotid artery
Online Access:https://ieeexplore.ieee.org/document/9274301/

Internet

https://ieeexplore.ieee.org/document/9274301/

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