• DocumentCode
    2636735
  • Title

    Representing multifigure anatomical objects

  • Author

    Han, Qiong ; Lu, Conglin ; Liu, Guodong ; Pizer, Stephen M. ; Joshi, Sarang ; Thall, Andrew

  • Author_Institution
    Med. Image Display & Anal. Group, North Carolina Univ., Chapel Hill, NC, USA
  • fYear
    2004
  • fDate
    15-18 April 2004
  • Firstpage
    1251
  • Abstract
    We use multifigure m-reps to represent anatomical objects, such as human livers, with named components. Each component is represented as a single figure m-rep. These figures of the object are connected via hinge geometry. A smooth object surface is then computed using our technique based on the subdivision method applied to a single figure m-rep. This novel representation allows us to represent and analyze a complex anatomical object by its individual components, by relations among its components, and by the object itself as a whole entity. Using our representation, some preliminary results on statistical analysis of multifigure anatomical objects are presented.
  • Keywords
    image segmentation; liver; medical image processing; statistical analysis; hinge geometry; human liver; multifigure anatomical objects; multifigure m-reps; single figure m-rep; smooth object surface; statistical analysis; subdivision method; Biomedical imaging; Brain modeling; Deformable models; Displays; Fasteners; Geometry; Humans; Image analysis; Liver; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8388-5
  • Type

    conf

  • DOI
    10.1109/ISBI.2004.1398772
  • Filename
    1398772