Endoscopy Video Quality Feedback for Real-Time Area Coverage Assessment
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Solution Overview
Problem
Existing medical imaging systems fail to provide real-time analysis and feedback on the quality of an operator's examination technique during procedures like endoscopy, lacking evaluation of individual areas and the entire procedure, which can lead to missed detections due to operator skill, fatigue, or memory issues.
Innovation Solution
A computer-implemented system processes video frames from medical procedures to analyze examination quality by evaluating factors such as trajectory, speed, and surface exposure, providing real-time graphical feedback on examination quality levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time analysis and feedback systems are implemented to evaluate examination quality, then detection accuracy and operator skill improvement are improved, but device complexity and computational requirements increase
Solution Approach 1:
The system implements real-time feedback by analyzing video frames during the endoscopic procedure and providing quality assessment metrics to the operator. The processor evaluates examination quality based on multiple parameters including area coverage, trajectory patterns, and inspection duration, then displays feedback information that guides the operator to improve their examination technique immediately during the procedure.
Solution Approach 2:
The patent introduces an intermediary computer vision system that acts as a mediator between the raw video feed from the endoscope and the quality assessment requirements. This intermediary layer processes video frames to extract relevant features, generates quality metrics, and provides feedback without requiring direct modification of the endoscopic equipment itself, thereby managing system complexity.
2Measurement precision
If comprehensive analysis of multiple factors (trajectory, speed, surface exposure) is performed to evaluate examination quality, then assessment accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-defining quality metrics and analysis parameters before the actual examination procedure begins. The processor is pre-configured with evaluation criteria for trajectory, speed, and surface exposure, allowing it to rapidly process video frames during the procedure without requiring complex real-time decision-making about what to measure.
Solution Approach 2:
The patent segments the examination quality assessment into distinct analytical components: trajectory analysis, speed evaluation, surface exposure calculation, and area coverage assessment. Each component processes specific aspects of the video data independently, allowing parallel computation and reducing overall processing time while maintaining comprehensive evaluation accuracy.
3Reliability
If the system provides detailed real-time feedback on operator performance, then operator skill and examination thoroughness are improved, but information processing load and system resource consumption increase
Solution Approach 1:
The system applies local quality assessment by providing targeted feedback specific to the current examination context and operator performance. Rather than continuously analyzing all possible parameters at full resolution, the processor focuses computational resources on evaluating the most relevant quality metrics for the current procedural stage and identified performance gaps, reducing overall energy consumption while maintaining reliability.
Data Source
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AI summary
A computer-implemented system is provided that includes at least one processor that is adapted to analyze a plurality of frames from a real-time video to identify frames during which an operator is interacting with an image device to examine areas of a patient. The at least one processor is further configured to generate, from the identified frames, data representations of a first area examined by the operator interacting with the image device and further generate data representations of one or more further areas examined by the operator interacting with the image device. The at least one processor is also configured to aggregate the data representations of the first area with the data representations of the one or more further areas and determine, using the aggregated data representations, an examination quality level of the areas examined by the operator and present, on a display device during the medical procedure, a graphical representation indicating the examination quality level of the areas examined by the operator.