Rule-Based Image Display System for Diagnostic Data Integration
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Solution Overview
Problem
The integration of diverse image-based information from various sources into a format usable by diagnosticians is challenging due to differences in forms, formats, integration, and display, leading to increased likelihood of confusion and potential misdiagnosis.
Innovation Solution
A computer-based analytic framework that selects and integrates image-based information using rule-based processes, including the application of Convolutional Neural Networks (CNNs) to derive Image Content Based Parameters, to enhance the display of relevant information and reduce confusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple image-based information from various sources are integrated, then the completeness of diagnostic information is improved, but the complexity of integration and display increases
Solution Approach 1:
The patent segments image-based information into distinct series and studies, organizing them hierarchically. Each study contains multiple series, and each series contains multiple images. This segmentation allows comprehensive information integration while managing complexity through structured organization, enabling diagnosticians to navigate and integrate diverse imaging data systematically.
Solution Approach 2:
The patent introduces an intermediary display system that acts as a mediator between multiple image sources and the end user. This intermediary automatically retrieves, organizes, and presents images from multiple studies and series in a coordinated manner, reducing the integration complexity burden on diagnosticians while preserving information completeness.
2Ease of operation
If traditional hanging protocols are used for displaying images, then the simplicity of display is improved, but the adaptability to different diagnostic needs deteriorates
Solution Approach 1:
The patent implements dynamic display capabilities that allow the system to adapt to different diagnostic needs automatically. The display system can dynamically retrieve and organize images from multiple studies and series based on diagnostic requirements, transitioning from static traditional hanging protocols to flexible, adaptive display arrangements that maintain simplicity while enhancing versatility.
Solution Approach 2:
The patent creates a universal display framework that can handle multiple types of image-based information from various sources and modalities. This multi-functional system accommodates different diagnostic scenarios and imaging types within a single integrated display approach, eliminating the need for separate protocols for different diagnostic needs while maintaining ease of operation.
3Loss of information
If images from multiple studies are displayed together, then the comprehensiveness of diagnostic information is improved, but the likelihood of confusion increases
Solution Approach 1:
The patent segments and clearly labels images from different studies and series, organizing them in a structured hierarchy. This segmentation reduces confusion by making the source and context of each image explicit, allowing diagnosticians to distinguish between images from different studies while maintaining comprehensive information display.
Solution Approach 2:
The patent implements feedback mechanisms where the display system provides contextual information about each image's source study and series. This feedback helps diagnosticians understand the origin and relevance of each image, reducing the likelihood of confusion while maintaining comprehensive information presentation.
Data Source
AI summary
The invention provides, in some aspects, a system for implementing a rule derived basis to display image sets. In various embodiments of the invention, the selection of the images to be displayed, the layout of the images, as well as the rendering parameters and styles can be determined using a rule derived basis. The rules are based on meta data of the examination as well as image content that is being analyzed by neuronal networks. In an embodiment of the present invention, the user is presented with images displayed based on their preferences without having to first manually adjust parameters.