Publication detail

Analysis of Carotid Artery Transverse Sections in Long Ultrasound Video Sequences

ŘÍHA, K. ZUKAL, M. HLAWATSCH, F.

Original Title

Analysis of Carotid Artery Transverse Sections in Long Ultrasound Video Sequences

Type

journal article in Web of Science

Language

English

Original Abstract

Examination of the common carotid artery (CCA) based on an ultrasound video sequence is an effective method for detecting cardiovascular diseases. Here, we propose a video processing method for the automated geometric analysis of CCA transverse sections. By explicitly compensating the parasitic phenomena of global movement and feature drift, our method enables a reliable and accurate estimation of the movement of the arterial wall based on ultrasound sequences of arbitrary length and in situations where state-of-the-art methods fail or are very inaccurate. The method uses a modified Viola–Jones detector and the Hough transform to localize the artery in the image. Then it identifies dominant scatterers, also known as interest points (IPs), whose positions are tracked by means of the pyramidal Lucas–Kanade method. Robustness to global movement and feature drift is achieved by a detection of global movement and subsequent IP re-initialization, as well as an adaptive removal and addition of IPs. The performance of the proposed method is evaluated using simulated and real ultrasound video sequences.

Keywords

Atery; Ultrasound; Image processing; Video processing; Optical flow; Tracking; Interest point; Viola– Jones detector; Hough transform; Lucas–Kanade method

Authors

ŘÍHA, K.; ZUKAL, M.; HLAWATSCH, F.

Released

3. 1. 2018

Publisher

ELSEVIER SCIENCE INC

ISBN

0301-5629

Periodical

ULTRASOUND IN MEDICINE AND BIOLOGY

Year of study

44

Number

1

State

United Kingdom of Great Britain and Northern Ireland

Pages from

153

Pages to

167

Pages count

15

BibTex

@article{BUT146691,
  author="Kamil {Říha} and Martin {Zukal} and Franz {Hlawatsch}",
  title="Analysis of Carotid Artery Transverse Sections in Long Ultrasound Video Sequences",
  journal="ULTRASOUND IN MEDICINE AND BIOLOGY",
  year="2018",
  volume="44",
  number="1",
  pages="153--167",
  doi="10.1016/j.ultrasmedbio.2017.08.933",
  issn="0301-5629"
}