Rule-Based Image Display Framework for Medical Diagnostics
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Solution Overview
Problem
The integration of diverse image-based information from various sources into a format usable by physicians or diagnosticians is challenging due to differences in forms, formats, integration, and display, leading to potential mis-diagnosis or non-diagnosis.
Innovation Solution
A computer-based analytic framework that uses rule-based processes to select, integrate, and display image-based information from different sources, including 3D and 4D image data, to enhance diagnostic capabilities and prevent confusion between patient images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple imaging modalities (CT, MRI, PET) producing dozens of series with hundred or more images each are reviewed using traditional side-by-side hanging methods, then the existing display systems can handle traditional X-Ray images, but the system becomes inadequate for integrating and displaying the large volume and diversity of advanced imaging data
Solution Approach 1:
The patent segments the large volume of image data into distinct series and individual images, allowing systematic organization and selection. The system divides the complex task of reviewing dozens of series with hundred or more images each into manageable units that can be selectively displayed and integrated across different imaging modalities.
Solution Approach 2:
The patent transitions from traditional two-dimensional side-by-side image display to three-dimensional volume rendering and four-dimensional time-resolved visualization. This dimensional expansion enables comprehensive representation of complex imaging data from CT, MRI, and PET modalities, allowing physicians to navigate and interpret data in spatial and temporal dimensions rather than merely adjacent 2D planes.
2Reliability
If image-based information from different sources with different forms and formats is integrated, then diagnostic capability is enhanced, but the difficulty of integration and display increases
Solution Approach 1:
The patent implements a universal integration framework that accommodates multiple imaging modalities (CT, MRI, PET) and various data formats within a single system. This multi-functional platform enables seamless integration of diverse image-based information sources, allowing physicians to review combined data from different modalities without requiring separate systems for each format.
Solution Approach 2:
The patent introduces a computer-based analytic framework as an intermediary between diverse imaging sources and the physician. This intermediary system automatically selects, integrates, and organizes image data from multiple sources with different forms and formats, presenting synthesized information that enhances diagnostic accuracy while shielding physicians from the underlying integration complexity.
3Measurement precision
If a computer-based analytic framework with rule-based processes is used to select and integrate image data, then diagnostic accuracy is improved, but the system complexity increases
Solution Approach 1:
The patent employs rule-based processes that perform preliminary selection and organization of image data before presentation to the physician. These pre-established rules automatically filter, prioritize, and integrate relevant images from large datasets, ensuring high diagnostic precision while automating the complex tasks of data selection and integration, thereby reducing the perceptual complexity for the end user.
4Ease of operation
If traditional hanging protocols are used for displaying images, then simple display methods can be maintained, but the ability to effectively display complex 3D and 4D image data is limited
Solution Approach 1:
The patent extends traditional two-dimensional hanging protocols into three-dimensional volume rendering and four-dimensional time-resolved display. This dimensional enhancement maintains operational simplicity by building upon familiar hanging protocol concepts while adding the capability to effectively visualize and interact with complex 3D and 4D image data from advanced imaging modalities.
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. 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.


