IS = { zkontrolovano 30 Jan 2008 },
  UPDATE  = { 2008-01-30 },
  author =  {Uher{\v c}{\'\i}k, Mari{\'a}n and 
             Kybic, Jan and Cachard, Christian and 
             Liebgott, Herv{\'e}},
  title =   {Multi-resolution Parallel Integral Transform for Fast
             Electrode Localization in {3D} Ultrasound Images},
  institution =   {Center for Machine Perception, 
                   K13133 FEE Czech Technical University},
  address =       {Prague, Czech Republic},
  year =    {2007},
  month =   {November},
  type =    {Research Report},
  number =  {CTU--CMP--2007--24},
  issn =    {1213-2365},
  pages =   {4},
  figures = {4},
  authorship =    {60-20-10-10},
  psurl = {[Uhercik-TR-2007-24.pdf]},
  project = {MEST-CT-2005-021024 WARTHE},
  annote = {We address the problem of fast and accurate localization
    of miniature surgical instruments like needles or electrodes using
    3D ultrasound (US). An algorithm based on maximizing a~Parallel
    Integral Transform (PIP) can automatically localize line-shaped
    objects in 3D US images with accuracy on the order of hundreds of
    micrometers. Here we propose to use a~multi-resolution to
    accelerate the algorithm significantly.  We use a~maximum function
    for downsampling to preserve the high intensity voxels of a~thin
    electrode.  We integrate the multi-resolution pyramid into
    a~hierarchical mesh-grid search of PIP. The experiments with
    a~tissue mimicking phantom and breast biopsy data show that
    proposed method works well on real US images. 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 of
  keywords = {medical imaging, 3D ultrasound, electrode, needle,
              localization, parallel integral projection, 
              Radon transform},
  note =     {Submitted to ISBI 2008.},