De-speckle filtering in ultrasound imaging of the carotid artery
AuthorChristodoulou, Christodoulos I.
Loizou, Christos P.
Pattichis, Constantinos S.
Pantzaris, Marios C.
Kyriacou, Efthyvoulos C.
Pattichis, Marios S.
Schizas, Christos N.
Nicolaïdes, Andrew N.
SourceAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS)
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The main objective of this paper is to evaluate the classification performance of de-speckle filtering on ultrasound imaging of the carotid atherosclerotic plaque. The following procedure was investigated on 230 images (recorded from 115 symptomatic, and 115 asymptomatic subjects): (i) six different de-speckle filters were used based on first order and higher order local statistics, anisotropic diffusion, and geometric properties(ii) nine different texture feature sets were extracted, and (iii) the k-nearest neighbor classifier was used to classify a plaque as symptomatic or asymptomatic. The de-speckle filters based on higher order statistics, anisotropic speckle diffusion, and geometric properties gave a slightly higher percentage of correct classifications score than the original images.