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.
Filters and filtration
|Issue Date:||2012||Publisher:||IEEE||Source:||12th IEEE International Conference on BioInformatics and BioEngineering BIBE, 2012, Larnaca, Cyprus||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.||URI:||http://ktisis.cut.ac.cy/handle/10488/7285||DOI:||10.1109/BIBE.2012.6399756||Rights:||© 2012 IEEE|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
Show full item record
checked on Apr 12, 2017
checked on Jul 21, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.