• DocumentCode
    1491394
  • Title

    Rolling Indentation Probe for Tissue Abnormality Identification During Minimally Invasive Surgery

  • Author

    Liu, Hongbin ; Li, Jichun ; Song, Xiaojing ; Seneviratne, Lakmal D. ; Althoefer, Kaspar

  • Author_Institution
    Centre for Robotic Res., Kings Coll. London, London, UK
  • Volume
    27
  • Issue
    3
  • fYear
    2011
  • fDate
    6/1/2011 12:00:00 AM
  • Firstpage
    450
  • Lastpage
    460
  • Abstract
    This paper presents a novel optical fiber-based rolling indentation probe designed to measure the stiffness distribution of a soft tissue while rolling over the tissue surface during minimally invasive surgery. By fusing the measurements along rolling paths, the probe can generalize a mechanical image to visualize the stiffness distribution within the internal tissue structure. Since tissue abnormalities are often firmer than the surrounding organ or parenchyma, a surgeon then can localize abnormalities by analyzing the image. The performance of the developed probe was validated using simulated soft tissues. Results show that the probe can measure both force and indentation depth accurately with different orientations when the probe approached and rolled on the tissue surface. In addition, experiments for tumor, identification through rolling indentation were conducted. The size and embedded depth of the tumor, as well as the stiffness ratio between the tumor and tissue, were varied during tests. Results demonstrate that the probe can effectively and accurately identify the embedded tumors.
  • Keywords
    biological tissues; biomedical optical imaging; fibre optic sensors; indentation; medical image processing; medical robotics; robot vision; surgery; embedded tumor; force depth; indentation depth; internal tissue structure; mechanical image; minimally invasive surgery; optical fiber-based rolling indentation probe; soft tissue surface; stiffness distribution; tissue abnormality identification; tissue surface; Biological tissues; Force; Optical sensors; Probes; Surgery; Tumors; Cancer detection; force feedback; medical robotics; robot sensing systems;
  • fLanguage
    English
  • Journal_Title
    Robotics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1552-3098
  • Type

    jour

  • DOI
    10.1109/TRO.2011.2127210
  • Filename
    5746537