• DocumentCode
    1870632
  • Title

    Focused atlas-based image registration for recognition

  • Author

    Rohrer, Jonathan ; Gong, Leiguang

  • Author_Institution
    IBM Zurich Res. Lab., Ruschlikon
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1808
  • Lastpage
    1811
  • Abstract
    Registration with an atlas is a method to recognize and label structures that is used especially for the analysis of medical images. Its application to images containing many objects, such as images of the human abdomen, may prove to be very challenging. The underlying idea of our approach is to follow a strategy that resembles commonsense problem solving - goal-directed, context-based and focused. In our method, the goal of recognizing a particular anatomical structure, such as the aorta, is achieved by following a plan, which is a sequence of image registration tasks. The plan is derived by decomposing the registration of the goal object into a series of object registration subtasks using the anatomy knowledge and the modality-specific image properties. Preliminary experiments to recognize the aorta in human abdominal CT images have demonstrated the potential of our method.
  • Keywords
    image recognition; image registration; image sequences; knowledge representation; medical image processing; object detection; anatomical knowledge structure; commonsense problem solving; context-based method; focused atlas-based image registration task; goal-directed method; human abdomen; image recognition; image sequence; medical image processing; object registration; Abdomen; Anatomical structure; Anatomy; Biomedical imaging; Focusing; Humans; Image analysis; Image recognition; Image registration; Problem-solving; Biomedical image processing; Image region analysis; Image registration; Knowledge based systems; Knowledge representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4712128
  • Filename
    4712128