Medical Image Protocol Conformance System
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Solution Overview
Problem
There is a need for an automated system to determine whether user-submitted medical images conform to specific image parameters required for further diagnostic processing and analysis, particularly in ophthalmic imaging.
Innovation Solution
A system comprising an image input module, an image protocol conformation module, an image output module, and an image resubmission module, which analyzes images for conformity with predefined protocols, flags non-conforming images, and guides users to resubmit corrected images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated image analysis is implemented to check conformity with diagnostic protocols, then measurement precision and reliability of diagnostic analysis are improved, but device complexity increases due to the need for multiple modules and algorithms
Solution Approach 1:
The system is divided into distinct functional modules: an image input module to receive images, an image protocol conformation module to analyze conformity with diagnostic protocols, an image output module to communicate results, and an image resubmission module to handle non-conforming images. This segmentation allows each module to perform a specific function, improving measurement precision while managing complexity through modular design.
2Productivity
If manual image quality verification is performed by users, then device complexity is reduced, but productivity decreases due to time-consuming manual checks and resubmissions
Solution Approach 1:
The image protocol conformation module automatically performs quality verification and conformity assessment without requiring manual user intervention. The system self-evaluates whether images meet diagnostic protocol requirements and automatically generates feedback, thereby increasing productivity while the modular design keeps complexity manageable.
3Manufacturing precision
If iterative image resubmission process is implemented, then manufacturing precision of image quality standards is improved, but loss of time increases due to multiple resubmission cycles
Solution Approach 1:
The image output module provides immediate feedback to users about non-conforming images, specifying which protocol requirements are not met. The image resubmission module uses this feedback information to guide users in correcting specific issues, enabling targeted resubmissions that reduce the number of iterative cycles needed while maintaining high precision in meeting quality standards.
Data Source
AI summary
Disclosed is a system for qualifying medical images submitted by user for diagnostic analysis comprising: an image input module, configured to receive one or more image input by a user; an image protocol conformation module, configured to receive the one or more images from the image input module, and further configured to analyze each of the one or more images for conformity with a predefined protocol and wherein images that do not conform to the predefined protocol are flagged as non-conforming images; an image output module, configured to identify to the user each of the one or more images flagged as non-conforming and prompting the user to resubmit a new image for each of the non-conforming images; and an image resubmission module, configured to receive the user resubmitted image and provide the resubmitted image to the image protocol conformation module.