IS = { zkontrolovano 21 Jan 2009 },
  UPDATE  = { 2008-11-27 },
  author =      {Uher{\v c}{\' i}k, Mari{\' a}n and Kybic, Jan and 
                 Liebgott, Herv{\' e} and Cachard, Christian},
  title =       {Multi-resolution Parallel Integral Projection for Fast 
                 Localization of a Straight Electro de in 3D Ultrasound Images},
  year =        {2008},
  pages =       {33--36},
  authorship =  {60-15-15-10},
  publisher =   {IEEE Computer Society Press},
  address =     {New York, US},
  isbn =        {978-1-4244-2002-5},
  issn =        {1945-7928},
  book_pages =  {1632},
  month =       {May},
  day =         {14-17},
  venue =       {Paris, France},
  organization= {IEEE International Symposium on Biomedical Imaging (ISBI)},
  annote = {We address the problem of fast and accurate localization
    of miniature surgical instrument s like needles or electrodes
    using 3D ultrasound (US). An algorithm based on maximizing
    a~Parallel Integra l Transform (PIP) can automatically localize
    line-shaped objects in 3D US images with accuracy on the orde r of
    hundreds of micrometers. Here we propose to use a multi-resolution
    to accelerate the algorithm signif icantly. We use a maximum
    function for downsampling to preserve the high intensity voxels of
    a~thin electr ode. We integrate the multi-resolution pyramid into
    a~hierarchical mesh-grid search of PIP. The experiment s with
    a~tissue mimicking phantom and breast biopsy data show that
    proposed method works well on real US i mages. The speed-up is
    threefold compared to original PIP method with the same accuracy
    0.4~mm. A~further speed-up up to 16 times is reached by an~early
    stopping of the optimization, at the expense of some loss o f
  keywords =    {3D ultrasound, electrode, localization, 
                 parallel integral projection, multi-resolution},
  project  =    {MEST-CT-021024 WARTHE, 1M0567},
  psurl =       { [text
, poster] },
booktitle   = { Proceedings of 2008 IEEE International Symposium on 
                 Biomedical Imaging: From Nano to Macro },