Endoscopic Image Analysis for Real-Time Medium Management
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Solution Overview
Problem
Current endoscopic systems require manual adjustments for pressure and flow control during procedures, which can disrupt the procedure's rhythm, require additional personnel, and may lead to suboptimal image quality due to lack of real-time image analysis for automated adjustments.
Innovation Solution
An endoscopic system that includes an image analysis engine and a control engine to analyze images in real-time, automatically adjusting medium management and other components to optimize image quality and procedural efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustments are made to pressure and flow control during endoscopic procedures, then the procedure team can respond to visualization needs, but the procedure rhythm is disrupted and additional personnel are required
Solution Approach 1:
The endoscopic system automatically adjusts pressure and flow parameters based on real-time image analysis without requiring manual intervention. The system analyzes image quality metrics and autonomously modifies operational parameters to maintain optimal visualization, allowing the procedure to continue uninterrupted with the primary operator's full attention on the surgical task
Solution Approach 2:
The system continuously monitors image quality through real-time analysis and uses this feedback to automatically adjust pressure and flow control parameters. This closed-loop control ensures optimal visualization is maintained dynamically throughout the procedure without requiring manual assessment or adjustment by procedure team members
2Adaptability or versatility
If manual adjustments are made to pressure and flow control, then the system can adapt to visualization needs, but suboptimal image quality may result due to lack of real-time analysis
Solution Approach 1:
The system replaces manual mechanical adjustment with automated electronic control based on computer vision algorithms. Image analysis engines process visual data in real-time to objectively assess visualization quality and trigger automated adjustments to pressure and flow parameters, eliminating the imprecision of manual estimation and response
Solution Approach 2:
The endoscopic system autonomously performs real-time image quality assessment and automatically adjusts operational parameters to optimize visualization. This self-regulating capability ensures precise image quality control without requiring external intervention or subjective judgment by procedure team members
3Reliability
If additional personnel are used to adjust pressure and flow manually, then the system can maintain optimal settings, but procedure costs increase and sterile field contamination risk increases
Solution Approach 1:
The endoscopic system autonomously maintains optimal pressure and flow settings through continuous real-time image analysis and automated parameter adjustment. This eliminates the need for additional procedure team members to monitor and adjust settings, reducing both personnel requirements and associated costs while maintaining sterile field integrity
Solution Approach 2:
The system implements automated feedback control where image quality is continuously analyzed and used to adjust operational parameters in real-time. This closed-loop system reliably maintains optimal settings without human intervention, eliminating the need for additional personnel and their associated risks
Data Source
AI summary
Endoscopic image analysis systems, methods and techniques are disclosed that can analyze images of an endoscopic system and identify image features, including images related to items used in performing the procedure, such as surgical instruments, tools, implants, and other devices. Using the one or more image features, functionality of the endoscopic system can be enhanced, and utilization of the procedure-related items can be tracked.