• DocumentCode
    115600
  • Title

    Using the BioTac as a tumor localization tool

  • Author

    Arian, Morelle S. ; Blaine, C. Alexander ; Loeb, Gerald E. ; Fishel, Jeremy A.

  • Author_Institution
    SynTouch LLC, Univ. Southern California, Los Angeles, CA, USA
  • fYear
    2014
  • fDate
    23-26 Feb. 2014
  • Firstpage
    443
  • Lastpage
    448
  • Abstract
    Robotically-Assisted Minimally Invasive Surgery (RMIS) offers many benefits to patients, yet introduces new challenges to surgeons due to the loss of tactile feedback that would be available in open surgery. This makes many intraoperative procedures such as tumor localization or other technically intricate and delicate tasks increasingly difficult. Reestablishing the ability to feel for surgeons during RMIS would improve the quality and safety of these surgeries and facilitate conversion of many procedures requiring touch that are traditionally performed as open-surgery. In this research a biomimetic tactile sensor (BioTac, SynTouch LLC) was evaluated for localization of artificial tumors. Various signal processing techniques implementing spatial and temporal derivatives were implemented into a graphical user interface to aid in the localization of tumors when explored by a human operator. The ability to localize tumors using the BioTac sensor was compared to performance of the human finger. The BioTac sensor was found to be particularly effective for superficial tumors (3mm deep), achieving a detection rate of 94.1%. The BioTac was also able to detect small tumors 3mm in diameter at a detection rate of 61.5%, and tumors at a depth of 12mm with a detection rate of 60.0%. While human subjects were more effective at localizing most tumors, the BioTac was often able to do so at lighter forces.
  • Keywords
    biomimetics; graphical user interfaces; haptic interfaces; medical robotics; medical signal processing; spatiotemporal phenomena; surgery; tactile sensors; touch (physiological); tumours; BioTac sensor; RMIS; SynTouch LLC sensor; artificial tumor localization; biomimetic tactile sensor; depth 12 mm; graphical user interface; human finger; robotically-assisted minimally invasive surgery; signal processing techniques; size 3 mm; spatial derivatives; superficial tumors; tactile feedback; temporal derivatives; Electrodes; Fingers; Force; Substrates; Surgery; Tactile sensors; Tumors; Tactile sensing; minimally invasive surgery; tumor palpation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Haptics Symposium (HAPTICS), 2014 IEEE
  • Conference_Location
    Houston, TX
  • Type

    conf

  • DOI
    10.1109/HAPTICS.2014.6775496
  • Filename
    6775496