UPDATE  = { 2009-12-29 },
  author =      {Uher{\v c}{\' \i}k, Mari{\' a}n and Liebgott, Herv{\' e} and 
                 Kybic, Jan and Cachard, Christian},
  title =       {Needle localization methods in {3D} ultrasound data},
  year =        {2009},
  pages =       {4},
  booktitle =   {ICU 2009: International Congress on Ultrasonics},
  venue =       {Santiago de Chile},
  month =       {January},
  day =         {11-17},
  publisher =   {Elsevier's Physics Procedia},
  address =     {St. Louis, USA},
  isbn =        {1875-3892},
  book_pages =  {1478},
  organization ={World Congress on Ultrasonics},
  annote = { Ultrasound imaging has shown to be well adapted for
    guidance of micro tools, such as biopsy needles or electrodes, in
    the human body. Indeed it is safe for both patient and physicians,
    it is cheap and flexible compared to other imaging modalities. The
    ultrasound imaging offers a real-time acquisition speed but it has
    to deal with a typical speckle noise and other acoustic artifacts
    in the image. In clinical practice the tool in ultrasound image is
    identified by a human expert.  This paper gives an overview of
    automatic localization methods for needles or electrodes in 3D
    ultrasound data. We have developed two methods for axis
    localization: the 1st method is based on Parallel Integral
    Projection for localization of a straight tool; the 2nd method for
    axis localization of a curvilinear tool is based on model fitting
    using a RANSAC algorithm for robust and fast estimation. We
    present results on phantom data and breast biopsy data.  },
  keywords =    {3D ultrasound, biopsy needle, electrode, tool localization, 
                 Hough transform, RANSAC},
  authorship =  {50-20-20-10},
  project =     {EC project MEST-CT-2005-021024 WARTHE, MSM6840770012},
  psurl =       {[PDF, 548 KB] },