Please use this identifier to cite or link to this item:
Title: Despeckle filtering in ultrasound video of the common carotid artery
Authors: Theofanous, Charoula 
Loizou, Christos P. 
Pantziaris, Marios 
Kyriakou, Efthyvoulos 
Pattichis, Constantinos 
Kasparis, Takis 
Christodoulides, Paul 
Keywords: Quality control;Bioinformatics;Filters and filtration;Carotid artery;Ultrasonic imaging
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: Nov-2012
Publisher: IEEE
Source: 12th IEEE International Conference on BioInformatics and BioEngineering BIBE, 2012, Larnaca, Cyprus
Conference: IEEE International Conference on BioInformatics and BioEngineering BIBE 
Abstract: Noise reduction is essential for increasing the visual quality or as a preprocessing step for further automated analysis in video sequences and video coding. The objective of this work was to investigate four different video despeckle filtering techniques and evaluate them using visual assessment by two medical experts, texture features analysis, and video quality evaluation metrics. The four proposed video despeckle filtering techniques were evaluated on 10 ultrasound videos of the common carotid artery (CCA). The filters were applied on the whole video frame and in a selected by the user region of interest (ROI) which included the atherosclerotic carotid plaque. The despeckle filters were based on linear filtering (DsFlsmv), hybrid median filtering (DsFhmedian), nonlinear filtering (DsFkuwahara) and speckle reducing anisotropic diffusion (DsFsrad) filtering. Our results showed that, the best video despeckle filtering methods were the linear filter DsFlsmv, followed by the hybrid median filter DsFhmedian. Both filters improved the visual perception evaluation by experts and gave better texture and video quality metrics. Further work on a larger number of videos and by employing additional despeckle filtering techniques is required for the evaluation of video despeckle filtering methods on ultrasound videos of the CCA.
ISBN: 978-1-4673-4358-9
DOI: 10.1109/BIBE.2012.6399756
Rights: © 2012 IEEE
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

Show full item record


checked on Apr 28, 2018

Page view(s)

Last Week
Last month
checked on Aug 20, 2019

Google ScholarTM



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