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DICOM router: an open source toolbox for communication and correction of DICOM objects
Thomas Hackländer1, Klaus Kleber, Jens Martin
1HELIOS Klinikum Wuppertal, Hospital of the University Witten/Herdecke, Department of Radiology, Heusnerstrasse 40, 42283 Wuppertal, Germany. thacklaender@wuppertal.helios-kliniken.de
Academic Radiology
|March 16, 2005
Summary
A new toolbox automatically corrects Digital Imaging and Communications in Medicine (DICOM) objects from older systems, improving data interoperability. This solution enhances clinical workflows by ensuring data conformity with healthcare standards.
Area of Science:
- Medical Informatics
- Health Information Systems
- Digital Imaging
Background:
- Established standards like DICOM and HL7 facilitate medical image and data exchange.
- Integrating the Healthcare Enterprise (IHE) profiles ensure interoperability among information systems.
- Older imaging modalities often lack support for current standards and IHE profiles, necessitating DICOM object corrections.
Purpose of the Study:
- To develop a software toolbox for automating recurrent corrections of DICOM objects.
- To address the need for DICOM object conformity from non-IHE-compliant modalities.
- To enhance the integration of legacy imaging systems into modern healthcare IT infrastructures.
Main Methods:
- The toolbox features a receiver for DICOM objects, a processing pipeline with plug-ins for corrections, and senders for forwarding corrected objects.
- Implemented in Java as an open-source project, it supports user-defined corrections via eXtensible Stylesheet Language (XSL) files.
- Input/output channels include DICOM storage services, DICOM CD-ROMs, and local file systems, enabling conversion to XML or other formats.
Main Results:
- The toolbox is clinically applied for automatic correction of DICOM objects from non-IHE-conforming modalities.
- It facilitates the import of DICOM CD-ROMs into Picture Archiving and Communication Systems (PACS).
- The system supports pseudo-naming of DICOM images for enhanced data management.
Conclusions:
- The developed toolbox has been successfully adopted in clinical settings.
- Its open programming interfaces allow for easy adaptation to future healthcare IT requirements and applications.
- The tool effectively resolves issues with DICOM object conformity, improving data exchange and system integration.