CAD Pattern Growth Visualization for Medical Image Analysis
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Solution Overview
Problem
Current medical imaging systems, particularly CAD systems, lack the ability to efficiently track changes in identified patterns over time, leading to time-consuming manual analysis and potential human errors in diagnosing disease progression.
Innovation Solution
A system and method that utilize a CAD system to identify patterns on medical images, compile size data associated with exam dates, and generate graphics to visually depict pattern changes over time, allowing practitioners to easily review historical data and diagnose accurately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review of historical CAD findings is performed to track pattern changes over time, then diagnostic accuracy can be maintained, but time consumption increases significantly and human error risk increases
Solution Approach 1:
The patent introduces an intermediary software system that automatically retrieves historical CAD findings, calculates pattern growth rates, and generates visual reports. This intermediary tool bridges the gap between raw imaging data and diagnostic needs, eliminating manual review while maintaining diagnostic accuracy through automated growth rate calculations and visual presentations.
2Reliability
If manual comparison of historical CAD findings is performed, then pattern growth can be tracked, but human error increases and diagnostic reliability decreases
Solution Approach 1:
The system enables self-service automated tracking of pattern growth by programmatically retrieving historical CAD findings, automatically calculating growth rates, and generating visual reports without human intervention. This eliminates human error in data collection and calculation while maintaining diagnostic reliability through consistent, reproducible automated analysis.
3Reliability
If comprehensive review of all historical images is performed to assess pattern growth, then accurate diagnosis can be made, but productivity decreases
Solution Approach 1:
The patent extracts only the essential information needed for growth assessment - specifically pattern sizes from historical CAD findings - and presents them in a condensed visual format showing growth rates over time. This extraction approach maintains diagnostic accuracy by focusing on relevant data while dramatically improving productivity by eliminating the need to review entire historical image sets.
4Productivity
If automated pattern tracking system is implemented, then time efficiency improves and productivity increases, but system complexity increases
Solution Approach 1:
The patent implements a multi-functional automated system that retrieves historical CAD findings, calculates growth rates, generates visual reports, and presents results in an integrated interface. This universal system performs multiple functions that would otherwise require separate tools and manual processes, improving productivity while managing complexity through consolidation of functions into a single coordinated system.
Data Source
AI summary
Methods and systems are provided for displaying the change in size of a CAD identified pattern over time. Patterns on medical images stored in a medical imaging database are identified and measured using a CAD system. A user interface provides users with access to the medical images stored in imaging database via a network. A medical image belonging to a patient historical exam category and having at least one CAD identified pattern is displayed to a user via the user interface. The size of the CAD identified image pattern and the medical exam date associated with the medical image is compiled for each of the medical images belonging to the patient historical exam category. A graphic is then generated showing the sizes of the CAD identified image pattern and the medical exam dates associated with the medical image.