• DocumentCode
    1814157
  • Title

    Motion-guided anisotropic filtering of ultrasound sequences

  • Author

    Grau, V. ; Noble, J. Alison

  • Author_Institution
    Dept. of Eng. Sci., Oxford Univ.
  • fYear
    2006
  • fDate
    6-9 April 2006
  • Firstpage
    209
  • Lastpage
    212
  • Abstract
    In spite of its many advantages, the use of ultrasound imaging remains limited by the quality of the images. Several filtering techniques have been proposed to overcome this limitation. In the case of 4D studies such as those available in echocardiography, filtering can be performed both in the spatial and in the temporal domain, making possible a further reduction of speckle. We present an algorithm that combines spatial and temporal filtering in a single framework. The algorithm is based on the coherence enhancing anisotropic filter, modified to make possible the introduction of motion information in echocardiographic sequences. Motion is estimated using a similarity measure specifically designed for the characteristics of ultrasound acquisition. Results show a clear improvement when compared to spatial-only filters, or to filters which do not differentiate between temporal and spatial dimensions
  • Keywords
    echocardiography; filtering theory; image motion analysis; image sequences; medical image processing; spatial filters; coherence enhancing anisotropic filter; echocardiography; motion-guided anisotropic filtering; spatial filtering; speckle reduction; temporal filtering; ultrasound imaging; ultrasound sequences; Anisotropic filters; Anisotropic magnetoresistance; Biomedical imaging; Filtering; Image motion analysis; Image sequence analysis; Radio frequency; Speckle; Tensile stress; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-9576-X
  • Type

    conf

  • DOI
    10.1109/ISBI.2006.1624889
  • Filename
    1624889