1. Autonomous Surgical Robot With Camera-Based Markerless Navigation for Oral and Maxillofacial Surgery
- Author
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Ken Masamune, Kazuaki Hara, Hideyuki Suenaga, Ichiro Sakuma, Qingchuan Ma, Etsuko Kobayashi, Keiichi Nakagawa, and Junchen Wang
- Subjects
0209 industrial biotechnology ,medicine.diagnostic_test ,Computer science ,business.industry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Workload ,Computed tomography ,02 engineering and technology ,Autonomous robot ,Computer Science Applications ,surgical procedures, operative ,020901 industrial engineering & automation ,Control and Systems Engineering ,Oral and maxillofacial surgery ,medicine ,Robot ,Statistical analysis ,Computer vision ,Artificial intelligence ,Electrical and Electronic Engineering ,Autonomous system (mathematics) ,business ,Surgical robot - Abstract
The results of oral and maxillofacial surgery (OMS) significantly depend on the individual capabilities of surgeons. In this article, an autonomous surgical robot is proposed to automatically perform surgery according to a preoperative plan with the assistance of a surgeon. A 3-D computed tomography image of the subject's teeth was used to build an offline shape-based model by creating a large amount of 2-D contour data. A monochrome camera was mounted on a self-developed robot to capture the real-time image of the teeth for comparison with the offline 2-D contour to verify the teeth pose without using common markers. The data of the preoperative plan and the teeth pose were integrated to guide the movement of the robot during operation. Drilling experiments were conducted on the five 3D-printed mandible models, and a statistical analysis revealed highly accurate results. This autonomous robot provides a practical solution for robotically conducted OMS and has the potential to significantly reduce the workload of surgeons.
- Published
- 2020
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