• DocumentCode
    617638
  • Title

    Robot assisted endomicroscopic image mosaicing with optimal surface coverage and reconstruction

  • Author

    Simaiaki, Vasiliki ; Giataganas, Petros ; Guang-Zhong Yang

  • Author_Institution
    Hamlyn Centre for Robotic Surg., Imperial Coll. London, London, UK
  • fYear
    2013
  • fDate
    7-11 April 2013
  • Firstpage
    1432
  • Lastpage
    1435
  • Abstract
    Probe-based confocal laser endomicroscopy is an emerging technique for real-time in vivo and in situ tissue characterization. Major challenges related to the use of confocal endomicroscopy in clinical environments are the narrow field of view of pCLE images and a lack of spatio-Iocalization. The flexibility of the probe also hampers its manipulation in a consistent manner. These challenges are addressed in this paper by using a compliant robotic manipulator to provide simultaneous image mosaicing and surface reconstruction. The tip position given by the robot is combined with image registration in order to achieve accurate localization. Issues related to optimal path planning for 3D surface coverage are addressed. The proposed method enables the derivation of a functional three-dimensional map of the tissue suitable for intraoperative margin definition during cancer surgery.
  • Keywords
    biological tissues; endoscopes; image registration; image segmentation; manipulators; medical image processing; medical robotics; optical microscopy; surface reconstruction; 3D surface coverage; cancer surgery; image registration; optimal surface reconstruction; pCLE image; probe-based confocal laser endomicroscopy; real-time in situ tissue characterization; real-time in vivo tissue characterization; robot assisted endomicroscopic image mosaicing; robotic manipulator; Abstracts; Image reconstruction; Indexes; Probes; Programming; Robots; Surface reconstruction; Endomicroscopy; mosaicing; optimal surface coverage; surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4673-6456-0
  • Type

    conf

  • DOI
    10.1109/ISBI.2013.6556803
  • Filename
    6556803