Orientation Matters: 6-DoF Autonomous Camera Movement for Minimally Invasive Surgery
Alaa Eldin Abdelaal, Nancy Hong, Apeksha Avinash, Divya Budihal, Maram, Sakr, Gregory D. Hager, Septimiu E. Salcudean

TL;DR
This paper introduces a novel 6-DoF autonomous camera movement method for minimally invasive surgery that considers scene orientation and workspace constraints, improving surgical video analysis and potential robotic applications.
Contribution
It presents the first autonomous camera method incorporating scene orientation for surgical tasks and demonstrates its effectiveness in skill assessment.
Findings
Autonomous camera improves error detection accuracy in surgical videos.
Scene orientation-aware camera tracking outperforms fixed camera views.
Potential benefits for robotic endoscope design and surgical training.
Abstract
We propose a new method for six-degree-of-freedom (6-DoF) autonomous camera movement for minimally invasive surgery, which, unlike previous methods, takes into account both the position and orientation information from structures in the surgical scene. In addition to locating the camera for a good view of the manipulated object, our autonomous camera takes into account workspace constraints, including the horizon and safety constraints. We developed a simulation environment to test our method on the "wire chaser" surgical training task from validated training curricula in conventional laparoscopy and robot-assisted surgery. Furthermore, we propose, for the first time, the application of the proposed autonomous camera method in video-based surgical skill assessment, an area where videos are typically recorded using fixed cameras. In a study with N=30 human subjects, we show that video…
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Taxonomy
TopicsSurgical Simulation and Training · Augmented Reality Applications · Soft Robotics and Applications
