• DocumentCode
    1188795
  • Title

    Surface reconstruction by multiaxial triangulation

  • Author

    Payne, Bradley A. ; Toga, Arthur W.

  • Author_Institution
    Dept. of Neurology, California Univ., Los Angeles, CA, USA
  • Volume
    14
  • Issue
    6
  • fYear
    1994
  • Firstpage
    28
  • Lastpage
    35
  • Abstract
    Outlines for reconstructing object surfaces are traditionally drawn from sequential images in parallel planes. The method presented here instead supports complex object topologies by drawing contours from multiaxial image planes. Multiaxial triangulation of an object in a given data volume involves four steps. First, the user generates contours interactively by selecting sample planes inside the data volume, then drawing object contours from the image corresponding to this sample plane. Our algorithm for multiaxial triangulation then processes these contours to verify consistency within and between sample planes. Second, it uses the sample planes containing the contours to partition the data volume into a divided volume. The contours are partitioned against the plane boundaries, and the contour parts (chains) are associated with faces, edges, and vertices in the divided volume. Third, these chains are joined into closed loops in the divided volume. Fourth, the loops are triangulated patchwise to create the surface model.<>
  • Keywords
    image reconstruction; interactive systems; surface reconstruction; closed loops; complex object topologies; consistency verification; data volume; image reconstruction; interactive contour generation; multiaxial image planes; multiaxial triangulation; object contours; object surfaces; patchwise triangulation; plane boundaries; surface model; surface reconstruction; Biomedical imaging; Image reconstruction; Image sampling; Laboratories; Neuroimaging; Reconstruction algorithms; Sampling methods; Surface reconstruction; Topology;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/38.329091
  • Filename
    329091