• DocumentCode
    716734
  • Title

    A novel marker for estimating the pose of a CT-guided robotic device using a single slice

  • Author

    Nageotte, Florent ; Khelifi, Riad ; Bayle, Bernard

  • Author_Institution
    ICUBE Lab., Univ. of Strasbourg, Strasbourg, France
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    4748
  • Lastpage
    4754
  • Abstract
    Automatic robot / Computed Tomography (CT) scanner registration is an important feature for robot-assisted percutaneous needle placement under CT-scanner. This registration can be done using 3D images, but for fast, low X-ray radiation it is interesting to be able to perform the registration with a single slice. In this paper, a new marker is proposed, which allows to estimate the pose of a device using a single slice. This marker, called ZCM, consists of three circles or ellipses arranged in a Z-shape configuration. It is shown that it provides a larger workspace (i.e. a larger set of visible configurations) for pose measurement than the standard Brown-Roberts-Wells, while maintaining a good accuracy. A closed-form method is proposed for solving the pose estimation with this marker. Simulations and experimental tests using a mock-up patient-mounted robot are presented and confirm the theoretical analysis.
  • Keywords
    biomedical equipment; computerised tomography; image registration; medical robotics; needles; pose estimation; robot vision; 3D images; CT-guided robotic device; CT-scanner; X-ray radiation; Z-shape configuration; ZCM; automatic robot; automatic robot-computed tomography scanner registration; closed-form method; image registration; mock-up patient-mounted robot; pose estimation; pose measurement; robot-assisted percutaneous needle placement; single-slice; visible configurations; Closed-form solutions; Estimation; Imaging; Needles; Noise; Robots; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7139859
  • Filename
    7139859