A Review of Camera Viewpoint Automation in Robotic and Laparoscopic Surgery

Pandya, Abhilash; Reisner, Luke A.; King, Brady W.; Lucas, Nathan; Composto, Anthony; Klein, Michael D.; Ellis, R. Darin

doi:10.3390/robotics3030310

Cited by 69 publications

(51 citation statements)

References 59 publications

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“…For example, surgeons’ eye gaze may be captured using trackers placed on wearable head mounts or eyeglasses, or remotely on high-resolution monitors (55, 56, 120–122). Similarly, data on surgeons’ posture or physiological function may be obtained in both environments (99, 113).…”

Section: Sources Of Data For Ocase-tmentioning

confidence: 99%

Objective Assessment of Surgical Technical Skill and Competency in the Operating Room

Vedula

Ishii

Hager

2017

Annu. Rev. Biomed. Eng.

108

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Training skillful and competent surgeons is critical to ensure high quality of care and to minimize disparities in access to effective care. Traditional models to train surgeons are being challenged by rapid advances in technology, an intensified patient-safety culture, and a need for value-driven health systems. Simultaneously, technological developments are enabling capture and analysis of large amounts of complex surgical data. These developments are motivating a “surgical data science” approach to objective computer-aided technical skill evaluation (OCASE-T) for scalable, accurate assessment; individualized feedback; and automated coaching. We define the problem space for OCASE-T and summarize 45 publications representing recent research in this domain. We find that most studies on OCASE-T are simulation based; very few are in the operating room. The algorithms and validation methodologies used for OCASE-T are highly varied; there is no uniform consensus. Future research should emphasize competency assessment in the operating room, validation against patient outcomes, and effectiveness for surgical training.

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Section: Sources Of Data For Ocase-tmentioning

confidence: 99%

Objective Assessment of Surgical Technical Skill and Competency in the Operating Room

Vedula

Ishii

Hager

2017

Annu. Rev. Biomed. Eng.

108

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“…These approaches may use preexisting knowledge about the visualization requirements and types of movements needed for the procedure. Our review paper on surgical camera automation provides a good summary of the current approaches.…”

Section: Introductionmentioning

confidence: 99%

Development and evaluation of an autonomous camera control algorithm on the da Vinci Surgical System

Eslamian

Reisner

Pandya

2019

Robotics Computer Surgery

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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.

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“…Finally, eye‐hand coordination must be developed to manipulate tools viewed remotely and from a different perspective than normal. This issue could partially be alleviated through autonomous control of the surgical camera, but the issue of an unintuitive perspective would remain. These challenges oblige surgeons to acquire a new set of skills through rigorous surgical training prior to operating on live patients.…”

Section: Introductionmentioning

confidence: 99%

A robotic system for telementoring and training in laparoscopic surgery

Prince

Kang

Simonelli

et al. 2019

Robotics Computer Surgery

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A laparoscopic surgical training system, the LapaRobot, is introduced. The system is composed of an expert station and a trainee station connected through the Internet. Embedded actuators allow the trainee station to be driven by an expert surgeon so that a trainee learns proper technique through physical feedback. The surgical‐tool trajectory and video feed can be recorded and later “played back” to a trainee to hone operative skills through guided repetition without the need for expert supervision. The system is designed to create a high‐fidelity approximation of the intracorporeal workspace, incorporate commercially available surgical instruments, and provide a wealth of high‐resolution data for quantitative analysis and feedback. Experimental evaluation demonstrated a 55% improvement in surgical performance with use of our system. In this paper, we introduce the details of the design and fabrication of the LapaRobot, illustrate the mechatronics and software‐control schemes, and evaluate the system in a study.

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A Review of Camera Viewpoint Automation in Robotic and Laparoscopic Surgery

Cited by 69 publications

References 59 publications

Objective Assessment of Surgical Technical Skill and Competency in the Operating Room

Objective Assessment of Surgical Technical Skill and Competency in the Operating Room

Development and evaluation of an autonomous camera control algorithm on the da Vinci Surgical System

A robotic system for telementoring and training in laparoscopic surgery

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