DICOM Conformance Statement Generation via Automated Query Discovery
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Solution Overview
Problem
The integration of new DICOM devices into existing medical imaging systems is time-consuming and inefficient due to inaccurate or incomplete DICOM conformance statements, which describe the devices' query/retrieve capabilities, leading to complications in data retrieval and integration.
Innovation Solution
An automatic method for generating a machine-readable DICOM conformance statement using a model-based architecture that discovers and validates the query/retrieve capabilities of DICOM devices, such as PACS, by performing a series of queries and populating the statement with the determined capabilities, facilitating accurate integration and comparison across multi-vendor devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to determine DICOM query/retrieve capabilities, then integration accuracy may be improved through careful verification, but integration time and complexity increase significantly
Solution Approach 1:
The DICOM device automatically performs self-testing by executing query/retrieve operations on itself without requiring external manual verification. The conformance model sends test queries to the device and automatically records the results, enabling the device to self-validate its capabilities and generate accurate conformance statements independently, thereby eliminating time-consuming manual verification processes
Solution Approach 2:
The system performs preliminary capability testing during the device integration phase by executing a comprehensive set of test queries before final deployment. This preliminary action ensures that all query/retrieve capabilities are discovered and documented in advance, preventing integration issues from arising during production use and reducing the need for time-consuming adjustments later
2Reliability
If comprehensive capability testing is performed to ensure accurate conformance statements, then integration reliability improves, but device complexity and testing overhead increase
Solution Approach 1:
The conformance model serves multiple functions: it acts as a test query generator, a capability validator, a conformance statement generator, and an integration guide. By consolidating these functions into a single universal model, the system achieves comprehensive capability testing without proportionally increasing system complexity, as the same model structure is reused across different testing scenarios
Solution Approach 2:
The system varies testing parameters such as query types, retrieve operations, and conformance criteria to comprehensively evaluate device capabilities. By systematically changing these parameters through automated scripting rather than manual configuration, the system achieves thorough testing coverage while keeping the testing framework itself relatively simple and maintainable
3Productivity
If automated query execution is implemented to discover capabilities, then productivity and integration speed improve, but the complexity of automation infrastructure increases
Solution Approach 1:
The conformance model acts as an intermediary layer between the automated testing system and the DICOM device. It translates high-level integration requirements into specific test queries, executes them automatically, and translates the results into standardized conformance statements. This intermediary approach enables automated capability discovery without requiring complex point-to-point integration logic, thereby improving productivity while controlling infrastructure complexity
Data Source
AI summary
Systems and methods are provided for automatically generating a digital imaging and communications in medicine (DICOM) conformance statement. In one example, a method includes determining a set of DICOM query/retrieve capabilities of a DICOM application implemented on a DICOM device by performing a list of queries to the DICOM application, and populating a DICOM conformance statement with the determined set of DICOM query/retrieve capabilities.