• DocumentCode
    3505909
  • Title

    Reconstructing the three-dimensional surface of a branching and merging biological structure from a stack of coplanar contours

  • Author

    Burguet, Jasmine ; Mailly, Philippe ; Maurin, Yves ; Andrey, Philippe

  • Author_Institution
    NOeMI, INRA, Jouy-en-Josas, France
  • fYear
    2011
  • fDate
    March 30 2011-April 2 2011
  • Firstpage
    602
  • Lastpage
    605
  • Abstract
    We address here two important problems when reconstructing the three-dimensional surface of a biological structure from a stack of section contours. The correspondence problem, which aims at associating contours on adjacent sections, is solved using connection constraints and a contour association cost function to build a correspondence graph. The branching problem, which aims to reconstruct the surface between one contour and several ones on the adjacent section, is decomposed as a cascade of bifurcations at linearly interpolated contour locations between sections. Our method restores connections even for distant contours and produces anatomically relevant branching reconstructions. The validity of this approach is illustrated on two neuroanatomical datasets.
  • Keywords
    biological techniques; biological tissues; biology computing; brain; image reconstruction; neurophysiology; optical microscopy; bifurcation cascade; biological structure 3D surface reconstruction; branching biological structure; branching problem; connection constraints; contour association cost function; coplanar contour stack; correspondence graph; correspondence problem; merging biological structure; neuroanatomical datasets; Bifurcation; Blood vessels; Image reconstruction; Merging; Surface reconstruction; Surface treatment; 3D modeling; Surface reconstruction; histology; neuroanatomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-4127-3
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2011.5872479
  • Filename
    5872479