@InProceedings{Barva-IEEEUFFC2004,
  IS = { zkontrolovano 13 Jan 2005 },
  UPDATE   = { 2005-06-21 },
  author  =   {Barva, Martin and Kybic, Jan and Mari, Jean-Martial and 
               Cachard, Christian},
  title    =  {Radial {R}adon Transform dedicated to Micro-object 
                Localization from Radio Frequency Ultrasound Signal},
  year =      {2004},
  pages    =  { 1836--1839 },
  booktitle = { IEEE UFFC: Proceedings of the IEEE International Frequency Control 
                Symposium and Exposition },
  publisher = { IEEE Operations Center },
  address  = { 445 Hoes Lane, Piscataway, USA },
  isbn     = { 0-7803-8412-1 },
  book_pages = { 2330 },
  annote = {In this paper we describe a method for automatic electrode
    localization in soft tissue from radio-frequency signal.  The
    method is exploiting a property of the Radon Transform (RT) that
    allows to localize a line-segment in 3D data. The method directly
    processes the radio-frequency (RF) signal provided by the
    ultrasound (US) probe. Thus, there's no need for ultrasound image
    reconstruction. The method is able to detect line-segments that
    are discontinuous. The low computational cost allows to process
    data in real-time. The algorithm was tested on a radiofrequency
    signal acquired by scanning a phantom containing a thin metal
    electrode of 150um in diameter. The experiments show that the
    developed technique is capable of reliably finding an arbitrarily
    positioned line-segment in a 3D image.},
  project =     {GACR 102/03/0440, STINT Dur IG2003-2 062, CONEX GZ 45.535
                 French Embassy under the project of Ph.D. studies with co-supervision},
  month       = { August },
  day      = { 23-27 },
  venue       = { Montreal, Canada },
  keywords = { three-dimensional ultrasound, object localization, {R}adon transform },
  organization = { IEEE },
psurl       = { [PDF, 386 KB], 
                 [Poster, 205 KB] },
editor      = { Marjorie Passini Yuhas },
}