@MastersThesis{Barva-DeaThesis2003,
  IS = { zkontrolovano 04 Mar 2005 },
  UPDATE  = { 2005-02-28 },
  author =      {Martin Barva},
  language =    {French},
  title =       {Utilisation de la transform{\' e}e de {R}adon pour la localisation de micro-outils 
                 chirurgicaux dans une image {\' e}chographique},
  e_title =     {Use of the {R}adon trasform for localization of micro-surgical tools from an 
                 ultrasound image},
  year =        {2003},
  pages =       {63},
  school =      {Institut National des Sciences Appliqu{\' e}es de Lyon},
  address =     {20, rue Albert Einstein, 696 21 Villeurbanne, France},
  month =       {June},
  day =         {12},
  annote =      {Nous exposons une m{\' e}thode qui permet la 
                 localisation des outils chirurgicaux dans un tissu mous a partir 
                 d'une image {\' e}chographique. Cette m{\' e}thode est bas{\' e}e 
                 sur la transformation de Radon qui est capable de localiser des 
                 objets lin{\' e}aires dans un volume. Nous avons test{\' e} la 
                 m\'{e}thode propos{\' e}e sur des volumes test. Ensuite, nous 
                 montrons le r{\' e}sultat de la m{\' e}thode sur des don{\' e}es 
                 volumiques acquises par un systeme {\' e}chographique. En fin, 
                 nous {\' e}valuons les r{\' e}sultats obtenus, et proposons des 
                 am{\' e}liorations de la m{\' e}thode pr{\' e}sent{\' e}e.},
  e_annote =    {We present a method that is capable of localization 
                 of micro surgical tools in biological tissue from an ultrasound image. 
                 The method is based on the Radon transform that allows to localize 
                 elongated objects in a three-dimensional image. We tested the algortihm 
                 on synthetic data. Further, we show the results of the algorithm on 
                 data acquired by an ultrasound scanner. Finally, we discusse the 
                 obtained results and propose improvements of the method.},
  keywords =    {ultrasound, tool, localization, three-dimensional, Radon transform},
  supervisor =  {Christian Cachard},
  project =     {},
  psurl =       {[PDF, 4 261 KB]},
}