@techreport{TR-IC-05-20,
  number = {IC-05-20},
  author = {F.P.G. Bergo and F.F. de Goes and
            S.K. Goldenstein and A.X. Falcão},
  title = {A deformable model for fast visualization of
           {E}uclidean isosurfaces of the brain},
  month = {September},
  year = {2005}, 
  institution = {Institute of Computing, University of Campinas},
  note = {In English, 13 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       Curvilinear reformatting of MR images has been of great
       assistance to the diagnosis of dysplastic lesions in epilepsy
       patients. A recent improvement is its complete automation using
       Euclidean isosurfaces obtained from an ``envelope'' of the
       brain. Each isosurface consists of points with the same
       Euclidean distance from the envelope. The 3D visualization of
       these isosurfaces is usually computed using voxel projection
       and the voxel intensities as texture map. In this paper, we
       introduce a deformable model which combines a polygonal mesh
       and a graph, both obtained from the envelope. Our data
       representation can quickly create meshes for isosurfaces at
       arbitrary depths from the envelope. This representation fits
       well to modern GPUs, leading to high interactivity with the
       hardware currently available. We evaluate the visualization
       performance of our new deformable model side by side to an
       efficient implementation of voxel projection.
  }
}