• DocumentCode
    3401452
  • Title

    Variational segmentation of elongated volumetric structures

  • Author

    Reinbacher, Christian ; Pock, Thomas ; Bauer, Christian ; Bischof, Horst

  • Author_Institution
    Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    3177
  • Lastpage
    3184
  • Abstract
    We present an interactive approach for segmenting thin volumetric structures. The proposed segmentation model is based on an anisotropic weighted Total Variation energy with a global volumetric constraint and is minimized using an efficient numerical approach and a convex relaxation. The algorithm is globally optimal w.r.t. the relaxed problem for any volumetric constraint. The binary solution of the relaxed problem equals the globally optimal solution of the original problem. Implemented on today´s user-programmable graphics cards, it allows real-time user interaction. The method is applied to and evaluated on the task of articular cartilage segmentation of human knee joints and segmentation of tubular structures like liver vessels and airway trees.
  • Keywords
    convex programming; image segmentation; medical image processing; user interfaces; variational techniques; anisotropic weighted total variation energy; articular cartilage segmentation; convex relaxation; elongated volumetric structures; global volumetric constraint; thin volumetric structure segmentation; tubular structure segmentation; user interaction; user-programmable graphics cards; variational segmentation; Bit error rate; Computer architecture; Design engineering; Optical crosstalk; Optical design; Optical fiber networks; Optical receivers; Optical transmitters; Physical layer; Q factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4244-6984-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2010.5539771
  • Filename
    5539771