Detail publikace

Analysis of Carotid Artery Transverse Sections in Long Ultrasound Video Sequences

ŘÍHA, K. ZUKAL, M. HLAWATSCH, F.

Originální název

Analysis of Carotid Artery Transverse Sections in Long Ultrasound Video Sequences

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

ŘÍHA, K.; ZUKAL, M.; HLAWATSCH, F.

Vydáno

3. 1. 2018

Nakladatel

ELSEVIER SCIENCE INC

ISSN

0301-5629

Periodikum

ULTRASOUND IN MEDICINE AND BIOLOGY

Ročník

44

Číslo

1

Stát

Spojené království Velké Británie a Severního Irska

Strany od

153

Strany do

167

Strany počet

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"
}