Ultrasound images provide the clinician with non-invasive, low cost, and real-time images that can help them in diagnosis, planning and therapy. However, although the human eye is able to derive the meaningful information from these images, automatic processing is very difficult because of the noise and artefacts present in the image. In this work, we propose to extend the current anisotropic diffusion technique to deal with the speckle noise present in the Ultrasound images. To this end, we use a previously derived model of the noise, and we write the restoration scheme as a energy minimization constrained by the noise model and parameters. This approach leads to a new data attachment term whose optimal weight can be automatically estimated.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Speckle-constrained filtering of ultrasound images


    Beteiligte:
    Krissian, K. (Autor:in) / Kikinis, R. (Autor:in) / Westin, C.-F. (Autor:in) / Vosburgh, K. (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    283277 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Speckle filtering in ultrasound images for feature extraction

    Evans, A. N. / Nixon, M. S. / IEE; Science, Education and Technology Division | British Library Conference Proceedings | 1993


    An Overview of Speckle Noise Filtering in SAR Images

    Mascarenhas, N. D. A. | British Library Online Contents | 1997


    Speckle Reduction in Ultrasound Images by Minimization of Total Variation

    Djemal, K. | British Library Conference Proceedings | 2005



    Edge preserving wavelet speckle filtering

    Medeiros, F.N.S. / Mascarenhas, N.D.A. / Marques, R.C.P. et al. | IEEE | 2002