IS = { zkontrolovano 12 Jan 2009 },
  UPDATE  = { 2008-08-28 },
  author =      {Martin Barva and Mari{\' a}n Uher{\v c}{\' \i}k and 
                 Jean-Martial Mari and Jan Kybic and Jean-Ren{\' e} Duhamel and 
                 Herv{\' e} Liebgott and V{\' a}clav Hlav{\' a}{\v c} and 
                 Christian Cachard},
  title =       {Parallel Integral Projection Transform for Straight 
                 Electrode Localization in 3-D Ultrasound Images},
  journal =     {IEEE Transactions on Ultrasonics, Ferroelectrics, and 
                 Frequency Control (UFFC)},
  publisher =   {IEEE Ultrasonics, Ferroelectrics, and 
                 Frequency Control Society},
  address =     {445 Hoes Lane, Piscataway, USA},
  issn =        {0885-3010},
  year =        {2008},
  month =       {July},
  volume =      {55},
  number =      {7},
  pages =       {1559--1569},
  keywords =    {3D ultrasound, electrode, needle, localization, 
                 image guidance, parallel projection},
  annote = { In surgical practice small metallic instruments are
    frequently used to perform various tasks inside human body. We
    address the problem of their accurate localization in the
    tissue. Recent experiments using medical ultrasound have shown
    that this modality is suitable for real-time visualization of
    anatomical structures as well as the position of surgical
    instruments. We propose an image processing algorithm that permits
    to automatically estimate the position of a~line-segment shaped
    object. This method was applied to the localization of a~thin
    metallic electrode in biological tissue. We show that the
    electrode axis can be found through maximizing the Parallel
    Integral Projection transform which is a~form of the Radon
    transform. To accelerate this step hierarchical mesh-grid
    algorithm is implemented. Once the axis position is known,
    localization of the electrode tip is performed. The method was
    tested on simulated images, on ultrasound images of a~tissue
    mimicking phantom containing a~metallic electrode and on real
    ultrasound images from breast biopsy. The results indicate that
    the algorithm is robust with respect to variations in electrode
    position and speckle noise. Localization accuracy is of the order
    of hundreds of micrometers and is comparable to the ultrasound
    system axial resolution. },
  project =     {MEST-CT-021024 WARTHE, 
  psurl =       {ftp://cmp.felk.cvut.cz/pub/cmp/articles/uhercik/Barva-ieeeTUFFC2008.pdf},
authorship  = { 30-30-8-8-8-6-5-5 },