Flexible Mapping for Medical Image Report Data Exchange
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Solution Overview
Problem
Existing medical image data processing systems lack flexibility in mapping between DICOM SR data format and platform-specific data formats, leading to costly and non-adaptive implementations, with limited capabilities in exchanging image-related data between different imaging devices and systems.
Innovation Solution
A system with a flexible mapping capability that bidirectionally exchanges medical image and measurement data between DICOM SR format and various imaging device formats, using a repository of mapping information to convert clinical terms and data elements into compatible codes for incorporation in a report format data structure, supporting multiple devices and manufacturers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If DICOM SR format is used for exchanging medical image data, then data standardization and interoperability are improved, but flexibility in mapping to platform-specific formats deteriorates
Solution Approach 1:
The system segments the data exchange process into distinct mapping layers: a standardized DICOM SR layer and platform-specific implementation layers. This segmentation allows each layer to operate independently, maintaining standardization at the DICOM level while enabling flexible adaptation to different platforms through separate mapping configurations.
Solution Approach 2:
The patent introduces mapping configuration files as intermediary elements between DICOM SR format and platform-specific formats. These configuration files act as mediators that define transformation rules, enabling flexible adaptation to different platforms without modifying the core DICOM SR processing logic, thus resolving the contradiction between standardization and adaptability.
2Measurement precision
If platform-specific development is implemented for each imaging device, then data processing accuracy is improved, but development cost and system complexity increase
Solution Approach 1:
The system implements a universal DICOM SR processing framework that can handle data from multiple imaging device platforms through standardized interfaces. The mapping configuration files provide multi-functionality by supporting different platform formats without requiring separate processing logic for each device type, thereby reducing development cost while maintaining data processing accuracy through the unified framework.
Solution Approach 2:
The patent utilizes parameter changes in the form of configurable mapping parameters defined in external configuration files. By changing these parameters rather than modifying the core processing code, the system can adapt to different platforms and device types, maintaining data processing accuracy while significantly reducing development complexity and cost.
3Extent of automation
If proprietary internal mapping functions are used, then system control is improved, but adaptability to different device formats deteriorates
Solution Approach 1:
The system transitions from static proprietary mapping functions to dynamic, configurable mapping through external configuration files. This dynamic approach allows the mapping behavior to be adjusted and adapted to different device formats without changing the core system code, maintaining system control through centralized configuration management while significantly improving adaptability to various device formats.
Solution Approach 2:
The mapping configuration files enable the system to self-adapt to different device formats through declarative configurations rather than requiring hard-coded proprietary mapping functions. The system reads and applies mapping rules from configuration files, allowing it to service itself by adapting to new formats through configuration updates rather than code modifications, thus maintaining control while enhancing adaptability.
Data Source
AI summary
A system uses a flexible mapping capability in adaptively exchanging image related data between a structured report data format and data formats employed by different types of image processing device. A system provides medical image associated measurement data from different types of imaging device in a particular report format data structure. The system includes an acquisition processor for acquiring measurement data associated with medical images produced by an examination of a particular patient using a particular type of imaging device. A repository of mapping information associates clinical terms used by multiple different types of imaging device with corresponding codes compatible with a particular report format data structure employed for providing an imaging examination report of a particular patient. A data processor uses the repository in converting clinical terms in the acquired measurement data provided using the particular type of imaging device to corresponding codes compatible with a particular report format data structure. The data processor processes the codes corresponding to the converted clinical terms as well as elements of the acquired measurement data for incorporation in the particular report format data structure.