Analysis of Carotid Artery Transverse Sections in Long Ultrasound Video Sequences

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU127524" target="_blank" >RIV/00216305:26220/18:PU127524 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.ultrasmedbio.2017.08.933" target="_blank" >http://dx.doi.org/10.1016/j.ultrasmedbio.2017.08.933</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ultrasmedbio.2017.08.933" target="_blank" >10.1016/j.ultrasmedbio.2017.08.933</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of Carotid Artery Transverse Sections in Long Ultrasound Video Sequences

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Analysis of Carotid Artery Transverse Sections in Long Ultrasound Video Sequences

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

20601 - Medical engineering

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

ULTRASOUND IN MEDICINE AND BIOLOGY

ISSN

0301-5629

e-ISSN

1879-291X

Svazek periodika

44

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

15

Strana od-do

153-167

Kód UT WoS článku

000417044600013

EID výsledku v databázi Scopus

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