@article{Uhercik-CBM2013,
  IS = { zkontrolovano 25 Jan 2014 },
  UPDATE  = { 2014-01-06 },
  author={Uher{\v c}{\'\i}k, Mari{\' a}n and Kybic, Jan and Zhao, Yue and Cachard, Christian and Liebgott, Herv{\' e}},
  title={Line Filtering for Surgical Tool Localization in {3D} Ultrasound Images},
  journal={Computers in Biology and Medicine},
  year={2013},
  volume={43},
  number={12},
  address={San Diego, US},
  month={December},
pages={2036--2045},
  authorship={40-40-15-3-2},
  project={GACR P202/11/0111},
  keywords={3D ultrasound; Tool localization; Line filtering; Biopsy; RANSAC},
  annote={We present a method for automatic surgical tool localization
                  in 3D ultrasound images based on line filtering,
                  voxel classification and model fitting. This could
                  possibly provide assistance for biopsy needle or
                  micro-electrode insertion, or a robotic system
                  performing this insertion. The line-filtering method
                  is first used to enhance the contrast of the 3D
                  ultrasound image, then a classifier is chosen to
                  separate the tool voxels, in order to reduce the
                  number of outliers. The last step is Random Sample
                  Consensus (RANSAC) model fitting. Experimental
                  results on several different polyvinyl alcohol (PVA)
                  cryogel data sets demonstrate that the failure rate
                  of the method proposed herein is improved by at
                  least 86% compared to the model-fitting RANSAC
                  algorithm with axis accuracy better than 1 mm, at
                  the expense of only a modest increase in
                  computational effort. The results of this experiment
                  show that this system could be useful for clinical
                  applications.},
  issn={0010-4825},
  publisher={Elsevier},
  if={1.36},
  doi={10.1016/j.compbiomed.2013.09.020},
  Url = {ftp://cmp.felk.cvut.cz/pub/cmp/articles/kybic/Uhercik-CBM2013.pdf},
}