Interactive Medical Image Marking via Pixel Correlation
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Solution Overview
Problem
Current medical image analysis software lacks versatility to accommodate varying medical scenarios, making it impractical to design specific software for each type of medical behavior or scenario, and there is a need for an interactive method that allows users to efficiently and precisely mark regions in medical images.
Innovation Solution
An interactive image marking method that displays a target image and marked regions, receives user signals, calculates correlations between pixels, determines a correlation range, and edits marked regions based on these interactions, allowing users to create, expand, or delete marked areas with precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If specific software is designed for each type of medical behavior or scenario, then the software can meet specific medical analysis requirements, but the device complexity and development cost increase significantly
Solution Approach 1:
The patent implements a universal image marking software system that can adapt to different medical scenarios through configurable parameters and interactive user input. The system uses a standardized marking interface that works across various medical image types and analysis requirements, eliminating the need for separate specialized software for each medical scenario while maintaining high analysis accuracy through flexible parameter adjustment.
2Measurement precision
If manual marking of regions in medical images is performed, then precise marking can be achieved, but the time consumption and productivity are reduced
Solution Approach 1:
The system enables semi-automated marking where the software assists users by providing intelligent suggestions for region boundaries based on image features, while the user maintains final control over the marking decisions. This self-service approach combines automated feature detection with manual verification, significantly improving marking efficiency while preserving precision through user oversight.
Solution Approach 2:
The patent implements an interactive feedback mechanism where the system continuously updates marking suggestions based on user corrections and preferences. The software learns from user interactions and adjusts its marking recommendations in real-time, improving both speed and accuracy through iterative feedback loops between automated processing and user input.
3Ease of operation
If a standardized image marking system is used for all medical scenarios, then the ease of operation and versatility improve, but the adaptability to specific medical requirements may be reduced
Solution Approach 1:
The patent implements a dynamic configuration system where marking parameters, thresholds, and processing algorithms can be adjusted in real-time based on the specific medical scenario and user preferences. The system transitions between different operational modes and parameter sets depending on the medical image type and analysis requirements, maintaining both ease of operation through standardized interfaces and adaptability through flexible parameter adjustment.
Data Source
AI summary
An interactive image marking method is introduced. The interactive image marking method includes the following steps, displaying a target image and at least one marked region in the target image; receiving an interactive signal, where the interactive signal corresponds to a first pixel of the target image; calculating a correlation between the first pixel and pixels of the target image, and determining a correlation range in the target image according to the correlation; editing the marked region according to the correlate range; and displaying the edited marked region. In addition, an electronic device and a recording medium using the method are also introduced.