Automated Surgical Tool Tracking for MIS Training
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Solution Overview
Problem
Current surgical training methods for minimally invasive surgery (MIS) inadequately address the cognitive challenges faced by surgeons, particularly in identifying anatomical landmarks and tracking surgical tools, leading to a slow and expensive learning curve.
Innovation Solution
A method and system that processes video frames to automatically determine the location of surgical tools using a processor, display, and input device, enabling improved motor and cognitive skill training by correlating the input device's configuration with the tool's location, and optionally using stereo vision for 3D coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tool location determination is used before video training, then training accuracy is improved, but time consumption and cost increase significantly
Solution Approach 1:
The patent replaces the manual mechanical process of tool location determination with an automated computer vision system. The system uses image processing algorithms to automatically detect and track surgical tools in video frames, substituting human technicians with computational methods. This resolves the contradiction by maintaining measurement precision through automated detection while eliminating the time-consuming manual process.
Solution Approach 2:
The training system performs self-service by automatically determining tool locations without requiring external manual intervention. The video processing system autonomously identifies tool positions, tracks their movement, and integrates this information into the training interface, making the system self-sufficient and eliminating dependency on manual preprocessing.
2Measurement precision
If manual tool tracking is performed by technicians, then accurate training data is obtained, but operational complexity and cost increase
Solution Approach 1:
The patent replaces the complex manual operational process with an automated computer vision system. The system automatically processes video frames, detects tool positions, and integrates tracking information without requiring technician intervention. This maintains measurement precision while significantly simplifying the operational process and reducing setup complexity.
Solution Approach 2:
The patent introduces an intermediary automated processing layer between the video source and the training interface. This intermediary system handles the complex task of tool location determination automatically, shielding the end user from operational complexity while maintaining accurate tool position data for training purposes.
3Reliability
If extensive manual training is provided for cognitive skill development, then surgical competence is improved, but training duration and cost increase
Solution Approach 1:
The patent implements real-time feedback mechanisms that provide trainees with immediate information about tool positions and anatomical landmarks. The system compares the trainee's actions with the actual surgical video, providing corrective feedback to accelerate cognitive skill development. This maintains surgical competence standards while reducing the extended training duration previously required through traditional mentorship models.
Solution Approach 2:
The system performs preliminary analysis and preparation of training materials automatically, pre-processing video content to identify key anatomical landmarks, tool positions, and critical moments before the trainee begins practice. This preliminary action reduces the cognitive load during actual training sessions and accelerates the development of surgical competence without extending overall training duration.
Data Source
AI summary
The present invention may be embodied as a method of minimally-invasive surgery (“MIS”) training using a video of an MIS comprising the steps of providing a processor, a display, and a first input device. The method comprises the step of processing the video using the processor to determine a location of the first surgical tool in each of the frames, determining whether the configuration of the first input device substantially corresponds to the location of the first surgical tool in each frame of the video while the video is displayed. The present invention may be embodied as a system for MIS training. The system comprises a processor, a communication device, and a first input device in communication with the processor. The processor is programmed perform any or all of the described disclosed methods.