Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/4123
Title: Despeckle Filtering Toolbox for Medical Ultrasound Video
Authors: Loizou,  Christos P. 
Theofanous, Charoula 
Pantziaris, Marios 
Nicolaides, Andrew N. 
Pattichis, Constantinos S. 
Kasparis, Takis 
Christodoulides, Paul 
Major Field of Science: Engineering and Technology
Field Category: Medical Engineering
Keywords: Ultrasound medical video;Ultrasound imaging
Issue Date: Dec-2013
Source: International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), vol.1, no.4, pp. 19
Volume: 1
Issue: 4
Start page: 19
Journal: International Journal of Monitoring and Surveillance Technologies Research (IJMSTR) 
Abstract: Ultrasound medical video has the potential in differentiating between normal and abnormal tissue and structure. Ultrasound imaging is used in border identification and texture characterisation of the atherosclerotic carotid plaque in the common carotid artery (CCA), the identification and measurement of the intima-media thickness (IMT) and the lumen diameter that are very important in the assessment of cardiovascular disease. However, visual perception is reduced by speckle noise affecting the quality of ultrasound B-mode imaging. Noise reduction is therefore essential for increasing the visual quality or as a pre-processing step for further automated analysis, such as the video segmentation of the IMT and the atherosclerotic carotid plaque in ultrasound video sequences. In order to facilitate this analysis, the authors have developed a video analysis software toolbox based on MATLAB® that uses video despeckling, texture analysis and image quality evaluation techniques to automate the pre-processing and complement the disease evaluation in ultrasound CCA videos. The proposed software, which is based on a graphical user interface (GUI), incorporates video normalisation, 4 different despeckle filtering techniques (DsFlsmv, DsFhmedian, DsFkuwahara and DsFsrad), 65 texture features, 11 quantitative video quality metrics and objective video quality evaluation. The software was validated on 10 ultrasound videos of the CCA, by comparing its results with quantitative visual analysis performed by two medical experts. It was shown that the filters DsFlsmv, and DsFhmedian improved video quality perception (based on the expert’s assessment and the video quality metrics). It is anticipated that the system could help the physician in the assessment of cardiovascular video analysis. However, exhaustive evaluation of the despeckle filtering toolbox has to be carried out by more experts on more videos.
URI: https://hdl.handle.net/20.500.14279/4123
ISSN: 2166725X
DOI: 10.4018/ijmstr.2013100106
Rights: © IGI Global
Type: Article
Affiliation : Intercollege 
Cyprus University of Technology 
Cyprus Institute of Neurology and Genetics 
Vascular Screening and Diagnostic Center 
University of Cyprus 
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

Page view(s)

432
Last Week
5
Last month
28
checked on Apr 13, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.