Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23605
Title: Atherosclerotic carotid plaque texture variability in ultrasound video
Authors: Loizou, Christos P. 
Pantziaris, Marios 
Nicolaides, Andrew N. 
Pattichis, Constantinos S. 
Major Field of Science: Engineering and Technology
Field Category: Medical Engineering
Keywords: Ultrasound video;Carotid artery;Texture analysis;Texture variability;Plaque;Atherosclerotic plaque
Issue Date: Sep-2014
Source: 6th European Conference of the International Federation for Medical and Biological Engineering, 2014, 7-11 September, Dubrovnik, Croatia
Start page: 176
End page: 179
Conference: European Conference of the International Federation for Medical and Biological Engineering 
Abstract: Ultrasound video of the common carotid artery (CCA) combined with texture feature analysis has the potential in differentiating between asymptomatic and symptomatic atherosclerotic carotid plaque and is used widely for the assessment of cardiovascular disease. Texture features were extracted from the segmented atherosclerotic carotid plaque for each video frame, from 10 ultrasound videos of the CCA, acquired from 5 asymptomatic and 5 symptomatic subjects. All videos were resolution normalized, despeckled and the plaque was automatically segmented by snakes. The cardiac cycle in each video was identified and the M-mode was generated, thus identifying systolic and diastolic states. From the segmented plaque, different texture features were extracted and studied throughout the cardiac cycle. It is shown that: (i) the plaque gray-scale median (GSM) for the asymptomatic group was significantly higher when compared to the symptomatic group and the same applies for the %CV and the %MAE; (ii) similar to this trend was also the case for features angular second moment, contrast, entropy, and difference variance; (iii) there is plaque GSM variability per frame throughout the cardiac cycle, and this variability differs between the systolic and diastolic states. It is anticipated that the proposed method may help the physician in the assessment of cardiovascular video analysis. However, exhaustive evaluation has to be carried out with more videos and texture features.
URI: https://hdl.handle.net/20.500.14279/23605
ISBN: 978-3-319-11128-5
DOI: 10.1007/978-3-319-11128-5_44
Rights: © Springer
Type: Conference Papers
Affiliation : Intercollege 
Cyprus Cardiovascular Disease and Educational Research Trust 
University of Cyprus 
Cyprus Institute of Neurology and Genetics 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

CORE Recommender
Show full item record

SCOPUSTM   
Citations

2
checked on Mar 14, 2024

Page view(s)

215
Last Week
4
Last month
28
checked on Apr 16, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons