Dynamic Image Analysis Apparatus for Medical Diagnostic Comparison
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Solution Overview
Problem
Current image processing technologies for dynamic images in medical diagnostics cannot effectively compare analysis values from dynamic images with statistical values from still images, limiting the ability to assess normal variations among healthy individuals and diagnose abnormalities efficiently.
Innovation Solution
An image processing apparatus that acquires dynamic images, performs image and statistical analysis, and displays analysis values alongside reference statistical values calculated from past subjects, allowing for comparison and identification of abnormalities by setting specific diagnostic regions and displaying results in both still and dynamic formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dynamic images are used for diagnosis, then motion analysis capability is improved, but comparison with statistical values from still images becomes difficult
Solution Approach 1:
The patent extracts and copies specific feature quantities from dynamic images that correspond to measurable parameters in still images. By identifying common features between dynamic and still image analysis, the system creates comparable data representations that can be directly contrasted with statistical values from still image databases, thus resolving the incompatibility between dynamic image analysis and traditional statistical comparison methods
Solution Approach 2:
The patent transforms dynamic image data into standardized parameter formats that match the structure of still image statistical data. By converting motion-related features into quantifiable parameters that can be statistically aggregated and compared, the system enables direct comparison between dynamic image analysis results and established still image statistical norms
2Measurement precision
If analysis values from dynamic images are compared with statistical values, then diagnostic accuracy is improved, but data compatibility issues arise
Solution Approach 1:
The patent introduces an intermediary processing layer that translates dynamic image analysis results into a standardized format compatible with existing still image statistical databases. This intermediary representation layer acts as a bridge, converting motion-based features into comparable parameters without losing essential diagnostic information, thus enabling accurate comparison while maintaining data compatibility
Solution Approach 2:
The patent segments the diagnostic information into distinct feature quantities that can be independently extracted and compared. By dividing the complex dynamic image data into specific measurable components that correspond to still image parameters, the system enables selective comparison of compatible features while preserving the unique value of dynamic analysis
3Ease of operation
If multiple diagnostic images are displayed side by side, then comparison capability is improved, but visual understanding of statistical differences becomes difficult
Solution Approach 1:
The patent adds a new dimension to the display by incorporating statistical context information alongside the visual comparison of diagnostic images. Instead of merely displaying images side by side, the system overlays or adjacent displays statistical norms, deviation indicators, or comparative metrics that provide context for the visual differences, enabling doctors to understand both the visual and statistical significance simultaneously
Data Source
AI summary
An image processing apparatus of the present invention includes an image analysis unit that performs image analysis processing on a plurality of frame images constituting a base dynamic image to obtain an overall analysis value, a statistical analysis unit that performs statistical analysis processing on a diagnostic region using the overall analysis value to obtain a first analysis value, a reference statistical value generating unit that outputs a reference statistical value, and a display unit that displays the first analysis value and the reference statistical value together.