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Robotics in Surgery: A Modular Robotic Platform Driven Gastric Wedge Resection

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Suture Maps Based on Structural Enhanced Imaging Endoscope for Laparoscopic Robotic Surgery.

Hanh N D Le¹, Shuwen Wei¹, Simon Leonard²

¹Department of Electrical and Computer Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218.

Conference on Lasers and Electro-Optics : (CLEO). Conference on Lasers and Electro-Optics

|February 1, 2021

Summary

A novel 3D cutting detection method aids robotic surgery by providing automatic suturing suggestions. This advancement enhances surgical precision and efficiency in complex procedures.

Keywords:

(110.6880) Three-dimensional image acquisition (120.3890) Medical optics instrumentation (170.2150) Endoscopic imaging

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Area of Science:

Robotics
Surgical Technology
Computer Vision

Background:

Robotic surgery offers enhanced precision but requires sophisticated guidance systems.
Accurate intraoperative information is crucial for effective surgical manipulation.
Current methods for guiding surgical tasks like suturing can be labor-intensive.

Purpose of the Study:

To develop an automated method for detecting cutting schemes in three-dimensional (3D) surgical environments.
To enable intelligent robotic surgical manipulation through real-time analysis of surgical actions.
To generate automatic suturing suggestions based on the detected cutting patterns.

Main Methods:

A 3D detection method was developed to analyze surgical video or sensor data.
The method identifies key features and patterns related to surgical cutting.
A mapping algorithm translates detected cutting schemes into actionable suturing recommendations.

Main Results:

The proposed method successfully detects cutting schemes in 3D surgical scenarios.
The system provides accurate and timely suggestions for subsequent suturing actions.
Demonstrated feasibility of automated guidance for robotic surgical tasks.

Conclusions:

The developed 3D cutting detection method is a valuable tool for robotic surgery.
This technology can significantly assist surgeons by automating task planning and suggestion.
Future work may involve integration into real-time surgical robotic systems for enhanced autonomy.