Image Analysis With Longitudinal ROI Tracking and Knowledge Updates
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Solution Overview
Problem
Current image interpretation systems lack seamless integration with knowledge representations, failing to provide effortless reference to knowledge representations during articulation of findings, and lack means for tracking and updating diagnostic findings for improved accuracy.
Innovation Solution
A method for integrating image analysis with longitudinal tracking of a region of interest and updating of a knowledge representation, involving automatic selection of regions of interest, diagnostic findings, and updating knowledge representations based on changes in electronic records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If current image interpretation systems are used, then specialists can interpret images and report findings, but there is no seamless integration with knowledge representations and no automated tracking of diagnostic findings
Solution Approach 1:
The system segments the image analysis process into distinct modules: image retrieval, region of interest identification, knowledge representation selection, and finding tracking. Each module operates independently but integrates through standardized interfaces, enabling automation while managing complexity through modular architecture
Solution Approach 2:
The patent introduces a knowledge representation broker as an intermediary component that mediates between the image analysis system and knowledge bases. This broker automatically selects appropriate knowledge representations and facilitates integration without requiring direct complex connections between all system components
2Productivity
If specialists manually interpret images and generate reports, then diagnostic findings can be articulated, but the process is time-consuming and prone to errors due to fatigue
Solution Approach 1:
The system enables self-service through automated image analysis algorithms that independently identify regions of interest, select knowledge representations, and track diagnostic findings. This reduces reliance on human specialists for routine analysis, increasing productivity while maintaining reliability through consistent automated processing
Solution Approach 2:
The patent implements feedback mechanisms where the system automatically tracks changes in electronic records and updates knowledge representations accordingly. This continuous feedback loop ensures accuracy by adapting to new diagnostic information and correcting any deviations from established knowledge
3Measurement precision
If CAD systems are used to detect and classify structures, then location information can be provided, but the coordinate system cannot be used to guide biopsy needles due to lack of relative position identification
Solution Approach 1:
The patent transitions from a two-dimensional image coordinate system to a three-dimensional anatomical coordinate system by mapping image locations to anatomical structures. This dimensional transformation enables precise location references that can be directly used to guide biopsy needles through anatomical landmarks
Solution Approach 2:
The system provides locally adapted coordinate information by mapping generic structure coordinates to specific anatomical locations. Each region of interest receives customized coordinate transformation based on its anatomical context, making the coordinate system clinically useful for procedures like biopsy guidance
4Loss of information
If specialists refer back and forth between images and reports, then comprehensive analysis can be performed, but the process is inefficient and increases the risk of oversights
Solution Approach 1:
The patent merges the image display with the knowledge representation and diagnostic findings in an integrated interface. Regions of interest are highlighted directly on the image, and associated findings are displayed contextually, eliminating the need to switch between separate image and report views while maintaining complete diagnostic information
Solution Approach 2:
The system performs preliminary organization of information by automatically indexing and pre-arranging diagnostic findings according to the image structure and knowledge representations. This preliminary sorting places all relevant information within easy reach during the interpretation process, reducing time spent searching for information
Data Source
AI summary
A method for integrating image analysis, longitudinal tracking of a region of interest and updating of a knowledge representation, said method comprising the steps of: retrieving an image representation of a sample structure from an image database; automatically selecting a generic structure from a database containing a plurality of generic structures based on an imaging modality of the sample structure.