@InProceedings{Uhercik2009-IUS,
  IS = { zkontrolovano 25 Jan 2011 },
  UPDATE  = { 2009-12-29 },
  author =      {Uher{\v c}{\' \i}k, Mari{\' a}n and Kybic, Jan and  
                 Cachard, Christian and  Liebgott, Herv{\' e}},
  title =       {Line filtering for detection of microtools in 3D ultrasound data},
  year =        {2009},
  pages =       {594-597},
  booktitle =   {Ultrasonics Symposium (IUS), 2009 IEEE International},
  venue =       {Rome, Italy},
  month =       {September},
  day =         {20-23},
  publisher =   {IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society},
  address =     {Piscataway, USA},
  isbn =        {978-1-4244-4390-1},
  book_pages =  {2500},
  organization ={IEEE},
  annote   = { We propose a robust method for localization of elongated
    surgical tools in 3D ultrasound data based on shape analysis. A
    new model of a surgical tool appearance in 3D ultrasound image is
    proposed which exploits its tubular shape. The tool axis is
    estimated with robust model fitting using a randomized RANSAC
    procedure. The tool model requires the voxels close to the axis to
    have a high intensity, high tubularness, and the local principal
    directions to be consistent with the tool axis.  The visual
    contrast of the tool can be enhanced four-fold using line
    filtering. We demonstrate that classification rate is improved by
    25-40% when adding the tubularness attribute. The comparison to
    other state-of-the-art localization methods shows that the
    proposed method is the most robust for data with high level of
    noise at the expense of additional time for pre-processing (less
    than 10 seconds for volume of size 53x71x260 voxels). },
  keywords =    {3D ultrasound, electrode, needle, localization, 
                 ultrasound guidance, RANSAC, line filtering},
  authorship =  {50-30-10-10},
  project =     {MEST-CT-021024 WARTHE, MSM6840770012},
  psurl =       {[PDF, 140 KB] },
editor      = { Dr. Marjorie Passini Yuhas },
doi         = { 10.1109/ULTSYM.2009.5441538 },
issn        = { 1948-5719 },
}