• DocumentCode
    68659
  • Title

    Air-float Palpation Probe for Tissue Abnormality Identification During Minimally Invasive Surgery

  • Author

    Wanninayake, Indika B. ; Dasgupta, Parthasarathi ; Seneviratne, Lakmal D. ; Althoefer, Kaspar

  • Author_Institution
    Dept. of Inf., King´s Coll. London, London, UK
  • Volume
    60
  • Issue
    10
  • fYear
    2013
  • fDate
    Oct. 2013
  • Firstpage
    2735
  • Lastpage
    2744
  • Abstract
    This paper presents a novel palpation probe based on optical fiber technology. It is designed to measure stiffness distribution of a soft tissue while sliding over the tissue surface in a near frictionless manner. A novelty of the probe is its ability to measure indentation depth for nonplanar tissue profiles which are commonly experienced during surgery. Since tumors are often harder than the surrounding tissue, the proposed probe can intraoperatively aid the surgeon to rapidly identify the presence, location, and size of the tumors through the generation of a tissue stiffness map. The probe can concurrently measure tissue reaction force, indentation depth, and the orientation of the probe with respect to the tissue surface. Hence, it can generate an elasticity model of the tissue with minimum measurement inaccuracies caused by surface profile variations. Further, the probe has a tunable force range and the indentation force can be adjusted externally to match tissue limitations. The performance of the probe developed was validated using simulated soft tissues samples. Our tumor identification experiments showed that the probe can accurately identify the location and size of tumors hidden inside nonflat tissue surfaces. Further, the probe has clearly demonstrated its potential to identify tumors with tumor-tissue stiffness ratios as low as 2.1.
  • Keywords
    biomechanics; biomedical optical imaging; elastic constants; fibre optic sensors; indentation; medical robotics; physiological models; probes; surgery; tumours; air-float palpation probe; elasticity model; indentation depth; indentation force; minimally invasive surgery; nonflat tissue surface; nonplanar tissue profile; optical fiber technology; probe orientation; soft tissue sample; stiffness distribution; surface profile variation; surrounding tissue; tissue reaction force; tissue stiffness map; tumor identification; tumor location; tumor size; tumor-tissue stiffness ratio; tunable force range; Force; Optical sensors; Probes; Robots; Surgery; Tumors; Cancer detection; medical robotics; optical sensors; tumors; Air; Diagnosis, Computer-Assisted; Equipment Design; Equipment Failure Analysis; Fiber Optic Technology; Humans; Manometry; Monitoring, Intraoperative; Neoplasms, Experimental; Palpation; Reproducibility of Results; Sensitivity and Specificity; Surgery, Computer-Assisted; Surgical Procedures, Minimally Invasive;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2264287
  • Filename
    6517529