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Area of Science:

  • Medical Robotics
  • Computer Vision
  • Surgical Navigation

Background:

  • Minimally invasive aortic valve surgery offers benefits but presents challenges in visualization.
  • Limited field of view and camera orientation issues hinder surgeon's spatial awareness.

Purpose of the Study:

  • To develop a computer vision methodology for a three-eyed endoscopic system.
  • To enhance instrument guidance and spatial awareness in minimally invasive aortic valve surgery through image stitching.

Main Methods:

  • An efficient image stitching method was developed using plane-induced homographic transformation.
  • The approach merges views from a three-camera endoscopic system for improved visualization.
  • Quantitative tests with chessboard patterns evaluated alignment accuracy.

Main Results:

  • The image stitching method demonstrated minimal alignment error (0.46% ± 0.15% at 40mm).
  • Surgeons reported improved orientation and navigation with the stitched image compared to separate views.
  • The average processing time of 12.6ms indicates computational efficiency for real-time application.

Conclusions:

  • The developed computer vision approach effectively improves spatial awareness and navigation in minimally invasive aortic valve surgery.
  • Image stitching provides a safer and more intuitive surgical experience.
  • This method is computationally efficient and suitable for real-time integration with robotic surgical systems.