Endoscope Type Detection via Image Analysis

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Solution Overview

Problem

During endoscopic procedures, it is time-consuming and inconvenient for medical personnel to manually adjust camera settings based on the type of endoscope and procedure being performed, as different endoscopes require specific settings for optimal visualization.

Innovation Solution

A system and method that automatically detect the type of endoscope connected to a camera/light source system by analyzing image data, segmenting the image into sections, calculating representative pixel values, and adjusting parameters such as video gain, sharpness, or light source settings based on the detected endoscope type.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual adjustment of camera settings is performed based on endoscope type, then optimal visualization can be achieved, but time consumption and operational complexity increase

Engineering Contradiction:

Improvevisualization qualityVSAvoidtime for manual adjustment

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system automatically detects endoscope type and adjusts camera settings without requiring manual intervention. The processor analyzes image data from the endoscope, determines the endoscope type based on image characteristics, and autonomously configures optimal settings for video gain, light source intensity, and other parameters, enabling the system to serve itself rather than requiring operator intervention

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system dynamically changes camera parameters based on detected endoscope type. Different endoscope types trigger different parameter configurations including video gain levels, light source intensity, shutter speed, and gamma levels, allowing optimal visualization settings to be automatically applied for each specific endoscope without manual adjustment

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If manual detection and adjustment of camera settings is performed, then settings can be optimized for specific procedures, but operational complexity and time requirements increase

Engineering Contradiction:

Improvesettings optimizationVSAvoidmanual adjustment complexity

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system performs automatic endoscope type detection and settings optimization without requiring medical personnel to manually identify endoscope characteristics or adjust parameters. The processor autonomously analyzes image data, determines endoscope type, and configures appropriate settings, eliminating the complexity of manual operation while maintaining adaptability to different procedures

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the manual mechanical process of detecting endoscope type and adjusting settings with an automated electronic system. The processor uses image analysis and electronic parameter adjustment to substitute for manual detection and mechanical setting changes, reducing operational complexity while maintaining procedure-specific optimization

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12178389B2Systems and methods for endoscope type detection

Publication Date: 2024.12.31 STRYKER CORP

AI summary

Systems and methods for detecting, characterizing, and addressing the type of endoscope that is connected to the camera/light source based on the image size taken using that endoscope are disclosed. Once the type of endoscope is determined, the systems and methods can adjust at least one parameter of the camera/light source based on the determination of the type of endoscope that is being used.