@techreport{TR-IC-03-16,
  number = {IC-03-16},
  author = {Felipe P. G. Bergo and Alexandre X. Falcão},
  title = {Interactive {3D} Segmentation of Brain {MRI} with
           Differential Watersheds},
  month = {July},
  year = {2003}, 
  institution = {Institute of Computing, University of Campinas},
  note = {In English, 9 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       We approach here the interactive 3D segmentation problem in the
       context of the image foresting transform (IFT) -- a graph-based
       tool to develop image processing operators -- by introducing
       the IFT- algorithm to compute sequences of IFTs in a
       differential way. We instantiate the IFT- to be a watershed
       transform and validate it for segmentation of brain
       MR-images. The new method reduces by a factor of 8.4 the user's
       waiting time during segmentation compared to the
       non-differential watershed approach. It also provides a
       revertible operator that leads to higher efficiency gains than
       our previous differential approach, the IFT+.
  }
}