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Gaze-Contingent Motor Channelling, haptic constraints and associated cognitive demand for robotic MIS

  • George P. Mylonas

      Affiliations

    • Royal Society/Wolfson Foundation Medical Image Computing Laboratory, Imperial College London, London SW7 2AZ, United Kingdom
    • Corresponding Author InformationCorresponding author. Address: Institute of Biomedical Engineering, 509 Bessemer, South Kensington Campus, Imperial College, London SW7 2AZ, United Kingdom. Tel.: +44 20 7594 0769; fax: +44 20 7581 8024.
  • ,
  • Ka-Wai Kwok

      Affiliations

    • Royal Society/Wolfson Foundation Medical Image Computing Laboratory, Imperial College London, London SW7 2AZ, United Kingdom
  • ,
  • David R.C. James

      Affiliations

    • Department of Biosurgery and Surgical Technology, Queen Elizabeth the Queen Mother Wing (QEQM), St. Mary’s Campus, Imperial College London, London W2 1NY, United Kingdom
  • ,
  • Daniel Leff

      Affiliations

    • Department of Biosurgery and Surgical Technology, Queen Elizabeth the Queen Mother Wing (QEQM), St. Mary’s Campus, Imperial College London, London W2 1NY, United Kingdom
  • ,
  • Felipe Orihuela-Espina

      Affiliations

    • Royal Society/Wolfson Foundation Medical Image Computing Laboratory, Imperial College London, London SW7 2AZ, United Kingdom
  • ,
  • Ara Darzi

      Affiliations

    • Department of Biosurgery and Surgical Technology, Queen Elizabeth the Queen Mother Wing (QEQM), St. Mary’s Campus, Imperial College London, London W2 1NY, United Kingdom
  • ,
  • Guang-Zhong Yang

      Affiliations

    • Royal Society/Wolfson Foundation Medical Image Computing Laboratory, Imperial College London, London SW7 2AZ, United Kingdom

Received 13 September 2009; received in revised form 5 July 2010; accepted 22 July 2010. published online 02 August 2010.
Corrected Proof

Research highlights

► Human visual system coordinates are directly transformed into motor coordinates. ► Gaze-Contingent Motor Channelling improves motor targeting and task performance. ► Gaze-Contingent Haptic Constraints for dynamic setting and updating of haptic constraints. ► fNIRS striking differences between expert/non-expert during Gaze-Contingent manipulation.

Abstract 

The success of MIS is coupled with an increasing demand on surgeons’ manual dexterity and visuomotor coordination due to the complexity of instrument manipulations. The use of master–slave surgical robots has avoided many of the drawbacks of MIS, but at the same time, has increased the physical separation between the surgeon and the patient. Tissue deformation combined with restricted workspace and visibility of an already cluttered environment can raise critical issues related to surgical precision and safety. Reconnecting the essential visuomotor sensory feedback is important for the safe practice of robot-assisted MIS procedures. This paper introduces a novel gaze-contingent framework for real-time haptic feedback and virtual fixtures by transforming visual sensory information into physical constraints that can interact with the motor sensory channel. We demonstrate how motor tracking of deforming tissue can be made more effective and accurate through the concept of Gaze-Contingent Motor Channelling. The method is also extended to 3D by introducing the concept of Gaze-Contingent Haptic Constraints where eye gaze is used to dynamically prescribe and update safety boundaries during robot-assisted MIS without prior knowledge of the soft-tissue morphology. Initial validation results on both simulated and robot assisted phantom procedures demonstrate the potential clinical value of the technique. In order to assess the associated cognitive demand of the proposed concepts, functional Near-Infrared Spectroscopy is used and preliminary results are discussed.

Keywords: Robotic surgery, Minimally invasive surgery, Eye tracking, Gaze-contingent control, Virtual fixtures

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PII: S1361-8415(10)00099-X

doi:10.1016/j.media.2010.07.007

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