Detail publikace

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.

Originální název

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

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

1. 12. 2020

Nakladatel

IEEE

ISSN

2169-3536

Periodikum

IEEE Access

Ročník

8

Číslo

1

Stát

Spojené státy americké

Strany od

222506

Strany do

222519

Strany počet

13

URL

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

Plný text v Digitální knihovně

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"
}