Endoscopic Lesion Sizing With Pre-Trained Image Analysis
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Solution Overview
Problem
Endoscopic devices struggle with accurate lesion size measurement due to user skill level and fatigue, leading to inconsistent and inaccurate lesion detection and response.
Innovation Solution
An endoscopic device equipped with a pre-trained model to identify lesions and calculate size information using image analysis, including brightness information and angle-based distance measurements, with a control unit to track and display the lesion for precise measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a user manually measures lesion size with the naked eye, then the device structure remains simple, but measurement accuracy deteriorates
Solution Approach 1:
The patent replaces manual mechanical measurement with an automated image processing system. The image sensor captures images of the lesion, and the control unit processes these images to calculate precise dimensions, eliminating the need for physical measurement tools and manual estimation.
Solution Approach 2:
The patent introduces an intermediary image processing system between the image sensor and the measurement output. The control unit acts as a mediator that receives image data, processes it through algorithms, and converts it into accurate measurement results, bridging the gap between simple imaging and precise measurement.
2Reliability
If the user manually detects and measures lesions, then the device operation remains simple, but detection reliability deteriorates due to user skill level and fatigue
Solution Approach 1:
The patent implements self-service detection where the system automatically identifies and measures lesions without requiring skilled human intervention. The control unit autonomously processes images, detects lesion boundaries, and calculates dimensions, enabling the system to perform its own measurement tasks consistently.
Solution Approach 2:
The patent incorporates feedback mechanisms where the control unit continuously processes image data, compares it against reference standards, and adjusts measurements to ensure accuracy. This feedback loop maintains high detection reliability by constantly verifying and correcting measurements.
3Measurement precision
If manual measurement methods are used, then the device complexity is low, but measurement consistency deteriorates across different users and conditions
Solution Approach 1:
The patent changes the measurement parameters from subjective manual estimation to objective digital image analysis. By converting measurements into pixel-based digital data and using standardized image processing algorithms, the system achieves consistent and reproducible measurements that are not affected by human variability.
Data Source
AI summary
Provided are an endoscopic device for identifying a lesion based on a pre-trained model and determining size information on the identified lesion, and a method of obtaining size information on a lesion.The method of obtaining size information on a lesion includes obtaining an image inside a body from an image sensor, identifying at least one lesion from the image based on a pre-trained model, and determining size information on the lesion.