Development and evaluation of an autonomous camera control algorithm on the da Vinci Surgical System
Autor: | Shahab Eslamian, Abhilash Pandya, Luke A. Reisner |
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Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
Computer science medicine.medical_treatment 0206 medical engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Biophysics Field of view 02 engineering and technology Da Vinci Surgical System Machine Learning 020901 industrial engineering & automation Robotic Surgical Procedures Joystick medicine Humans Robotic surgery Surgeons Computer-assisted surgery Workload Equipment Design 020601 biomedical engineering Computer Science Applications Surgery Computer-Assisted Calibration Laparoscopy Surgery Interrupt Algorithm Algorithms Software Camera control |
Zdroj: | The International Journal of Medical Robotics and Computer Assisted Surgery. 16 |
ISSN: | 1478-596X 1478-5951 |
Popis: | Background Manual control of the camera arm in telerobotic surgical systems requires the surgeon to repeatedly interrupt the flow of the surgery. During surgery, there are instances when one or even both tools can drift out of the field of view. These issues may lead to increased workload and potential errors. Methods We performed a 20-participant subject study (including four surgeons) to compare different methods of camera control on a customized da Vinci Surgical System. We tested (a) an autonomous camera algorithm, (b) standard clutched control, and (c) an experienced camera operator using a joystick. Results The automated algorithm surpassed the traditional method of clutched camera control in measures of userperceived workload, efficiency, and progress. Additionally, it was consistently able to generate more centered and appropriately zoomed viewpoints than the other methods while keeping both tools safely inside the camera's field of view. Conclusions Clinical systems of the future should consider automating the camera control aspects of robotic surgery. |
Databáze: | OpenAIRE |
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