Publication detail

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

DORAZIL, J. REPP, R. KROPFREITER, T. PRÜLLER, R. ŘÍHA, K. HLAWATSCH, F.

Original Title

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

Type

journal article in Web of Science

Language

English

Original 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.

Keywords

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

Authors

DORAZIL, J.; REPP, R.; KROPFREITER, T.; PRÜLLER, R.; ŘÍHA, K.; HLAWATSCH, F.

Released

1. 12. 2020

Publisher

IEEE

ISBN

2169-3536

Periodical

IEEE Access

Year of study

8

Number

1

State

United States of America

Pages from

222506

Pages to

222519

Pages count

13

URL

https://doi.org/10.1109/ACCESS.2020.3041796

Full text in the Digital Library

http://hdl.handle.net/11012/196465

BibTex

@article{BUT167451,
  author="Jan {Dorazil} and Rene {Repp} and Thomas {Kropfreiter} and Richard {Prüller} and Kamil {Říha} and Franz {Hlawatsch}",
  title="Tracking Carotid Artery Wall Motion Using an Unscented Kalman Filter and Data Fusion",
  journal="IEEE Access",
  year="2020",
  volume="8",
  number="1",
  pages="222506--222519",
  doi="10.1109/ACCESS.2020.3041796",
  issn="2169-3536",
  url="https://doi.org/10.1109/ACCESS.2020.3041796"
}