Predicting target vessel location for improved planning of robot-assisted CABG procedures

  • Authors:

  • Daniel S. Cho;Cristian A. Linte;Elvis Chen;Chris Wedlake;John Moore;John Barron;Rajni Patel;Terry M. Peters

  • Affiliations:

  • Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada and University of Western Ontario, London, Ontario, Canada;Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada and University of Western Ontario, London, Ontario, Canada;Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada;Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada;Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada;Department of Computer Science, University of Western Ontario, London, Ontario, Canada;Canadian Surgical Technologies and Advanced Robotics, London, Ontario, Canada;Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada and University of Western Ontario, London, Ontario, Canada and Canadian Surgical Technologies and Advanced Roboti ...

  • Venue:
  • MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
  • Year:
  • 2010

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Abstract

Prior to performing a robot-assisted coronary artery bypass grafting procedure, a pre-operative computed tomography scan is used to assess patient candidacy and to identify the location of the target vessel. The surgeon then determines the optimal port locations to ensure proper reach to the target with the robotic instruments, while assuming that the heart does not undergo any significant changes between the preand intra-operative stages. However, the peri-operative workflow itself leads to changes in heart position and consequently the intraoperative target vessel location. As such, the pre-operative plan must be adequately updated to adjust the target vessel location to better suit the intraoperative condition. Here we propose a technique to predict the position of the peri-operative target vessel location with ∼3.5mm RMS accuracy. We believe this technique will potentially reduce the rate of conversion of robot-assisted procedures to traditional open-chest surgery due to poor planning.