Endoscope Image Measurement Gating for Edge and Motion Artifacts
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Solution Overview
Problem
Existing image processing technologies struggle to accurately measure the size of observation targets in medical images, particularly when the target is located at the edge of the image or when there is significant movement, leading to inaccurate medical decisions.
Innovation Solution
An image processing device and method that utilizes AI-based processing to recognize the position of an observation target region in medical images, determine the suitability for size measurement based on position and movement, and output the size only when conditions are favorable, using models like AI-based segmentation and bounding boxes to ensure accurate measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If size measurement is performed on observation targets at image edges or with significant movement, then measurement coverage is improved, but measurement precision deteriorates due to image distortion and movement artifacts
Solution Approach 1:
The system performs preliminary detection of observation targets and evaluates their positions and movement states before size measurement is attempted. By pre-identifying targets at image edges or with significant movement, the system can determine whether measurement conditions are suitable, preventing inaccurate measurements before they occur.
Solution Approach 2:
The system provides feedback to operators about the suitability of measurement conditions for detected targets. When targets are located at image edges or exhibit significant movement, the system notifies operators of potential measurement inaccuracies, allowing them to adjust imaging conditions or reposition the target for accurate measurement.
2Measurement precision
If AI-based processing is used to recognize target positions and determine measurement suitability, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The AI-based processing system automatically evaluates measurement suitability and makes determination without requiring manual intervention. The system self-manages the complex tasks of target detection, position evaluation, movement analysis, and measurement suitability determination, reducing the operational burden on users despite the increased processing complexity.
3Reliability
If size output is restricted based on position and movement conditions, then measurement reliability is improved, but productivity decreases due to fewer measurements being performed
Solution Approach 1:
The system performs preliminary evaluation of measurement conditions for all detected targets before attempting size measurement. By pre-identifying suitable targets based on position and movement criteria, the system ensures that only reliable measurements are performed, maintaining high measurement reliability while efficiently utilizing processing resources.
Solution Approach 2:
The system provides feedback to operators about which targets meet measurement criteria and which do not, along with reasons for exclusion. This transparency allows operators to understand why certain measurements are restricted and to adjust imaging or positioning to capture more suitable targets, thereby improving overall measurement productivity.
Data Source
AI summary
An image processing device includes a processor. The processor is configured to: recognize, based on a medical image in which an observation target region is shown, a position of the observation target region in the medical image; determine whether or not to perform output of a size of the observation target region based on the position; and measure the size based on the medical image in a case in which it is determined to perform the output.