Please use this identifier to cite or link to this item:
Title: Despeckle filtering software toolbox for ultrasound imaging of the common carotid artery
Authors: Loizou,  Christos P. 
Theofanous, Charoula 
Pantziaris, Marios 
Kasparis, Takis 
Keywords: Carotid artery;Despeckling;Image;Speckle;Texture analysis;Ultrasound
Category: Medical Engineering;MEDICAL AND HEALTH SCIENCES;Clinical Medicine
Field: Engineering and Technology;Medical and Health Sciences
Issue Date: 1-Jan-2014
Publisher: Elsevier Ireland Ltd
Source: Computer Methods and Programs in Biomedicine, vol.114, no.1, 2014, pp.109-124
Journal: Computer Methods and Programs in Biomedicine 
Abstract: Ultrasound imaging of the common carotid artery (CCA) is a non-invasive tool used in medicine to assess the severity of atherosclerosis and monitor its progression through time. It is also used in border detection and texture characterization of the atherosclerotic carotid plaque in the CCA, the identification and measurement of the intima-media thickness (IMT) and the lumen diameter that all are very important in the assessment of cardiovascular disease (CVD). Visual perception, however, is hindered by speckle, a multiplicative noise, that degrades the quality of ultrasound B-mode imaging. Noise reduction is therefore essential for improving the visual observation quality or as a pre-processing step for further automated analysis, such as image segmentation of the IMT and the atherosclerotic carotid plaque in ultrasound images. In order to facilitate this preprocessing step, we have developed in MATLAB® a unified toolbox that integrates image despeckle filtering (IDF), texture analysis and image quality evaluation techniques to automate the pre-processing and complement the disease evaluation in ultrasound CCA images. The proposed software, is based on a graphical user interface (GUI) and incorporates image normalization, 10 different despeckle filtering techniques (DsFlsmv, DsFwiener, DsFlsminsc, DsFkuwahara, DsFgf, DsFmedian, DsFhmedian, DsFad, DsFnldif, DsFsrad), image intensity normalization, 65 texture features, 15 quantitative image quality metrics and objective image quality evaluation. The software is publicly available in an executable form, which can be downloaded from It was validated on 100 ultrasound images of the CCA, by comparing its results with quantitative visual analysis performed by a medical expert. It was observed that the despeckle filters DsFlsmv, and DsFhmedian improved image quality perception (based on the expert's assessment and the image texture and quality metrics). It is anticipated that the system could help the physician in the assessment of cardiovascular image analysis.
ISSN: 0169-2607
DOI: 10.1016/j.cmpb.2014.01.018
Rights: © 2014 Elsevier Ireland Ltd.
Type: Article
Appears in Collections:Άρθρα/Articles

Show full item record


checked on Dec 6, 2019

Page view(s)

Last Week
Last month
checked on Dec 11, 2019

Google ScholarTM



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