• DocumentCode
    1489078
  • Title

    Rolling Mechanical Imaging for Tissue Abnormality Localization During Minimally Invasive Surgery

  • Author

    Liu, Hongbin ; Noonan, David P. ; Challacombe, Benjamin J. ; Dasgupta, Prokar ; Seneviratne, Lakmal D. ; Althoefer, Kaspar

  • Author_Institution
    Div. of Eng., King´´s Coll. London, London, UK
  • Volume
    57
  • Issue
    2
  • fYear
    2010
  • Firstpage
    404
  • Lastpage
    414
  • Abstract
    We describe a novel approach for the localization of tissue abnormalities during minimally invasive surgery using a force-sensitive wheeled probe. The concept is to fuse the kinaesthetic information from the wheel-tissue rolling interaction into a pseudocolor rolling mechanical image (RMI) to visualize the spatial variation of stiffness 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. Initially, a testing facility for validating the concept in an ex vivo setting was developed and used to investigate rolling ??wheel-tissue?? interaction. A silicone soft-tissue phantom with embedded hard nodules was constructed to allow for experimental comparison between an RMI and a known soft-tissue structure. Tests have also been performed on excised porcine organs to show the efficacy of the method when applied to biological soft tissues. Results indicate that the RMI technique is particularly suited to identifying the stiffness distribution within a tissue sample, as the continuous force measurement along a given rolling trajectory provides repeatable information regarding relative variations in the normal tissue response. When compared to multiple discrete uniaxial indentations, the continuous measurement approach of RMI is shown to be more sensitive and facilitates coverage of a large area in a short period of time. Furthermore, if parametric classification of tissue properties based on a uniaxial tissue indentation model is desirable, the rolling indentation probe can be easily employed as a uniaxial indenter.
  • Keywords
    biological tissues; biomechanics; biomedical equipment; biomedical measurement; biomedical optical imaging; force measurement; force sensors; indentation; kidney; phantoms; rolling; silicones; surgery; wheels; RMI technique; biological soft tissues; continuous force measurement; embedded hard nodules; force-sensitive wheeled probe; internal tissue structure; kidney; kinaesthetic information; minimally invasive surgery; multiple discrete uniaxial indentations; parametric classification; parenchyma; pseudocolor rolling mechanical image; rolling trajectory; rolling wheel-tissue interaction; silicone soft-tissue phantom; soft-tissue structure; stiffness distribution; stiffness spatial variation; surrounding organ; tissue abnormality localization; uniaxial indenter; uniaxial tissue indentation model; Biological tissues; Fuses; Image analysis; Imaging phantoms; Minimally invasive surgery; Performance evaluation; Probes; Surges; Testing; Visualization; Haptics; minimally invasive surgery (MIS); soft-tissue abnormality localization; Algorithms; Animals; Biomechanics; Diagnostic Imaging; Equipment Design; Fiber Optic Technology; Kidney; Phantoms, Imaging; Surgical Procedures, Minimally Invasive; Swine;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2009.2032164
  • Filename
    5272338