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Published on: November 23, 2019
Informatics in radiology (infoRAD): an open source framework for modification and communication of DICOM objects
Thomas Hackländer1, Jens Martin, Klaus Kleber
1Department of Radiology, HELIOS Klinikum Wuppertal, Hospital of the University of Witten-Herdecke, Heusnerstrasse 40, 42283 Wuppertal, Germany. thomas@hacklaender-online.de
Summary
A new Java framework manages medical images, enabling modification and export across various Picture Archiving and Communication System (PACS) scenarios. This open-source tool enhances DICOM image handling and clinical workflow integration.
Area of Science:
- Medical Imaging Informatics
- Health IT Interoperability
- Software Engineering in Healthcare
Background:
- Picture Archiving and Communication Systems (PACS) require flexible tools for managing medical images.
- Interoperability challenges exist with non-standard compliant medical imaging modalities.
- Efficient handling and modification of Digital Imaging and Communications in Medicine (DICOM) objects are crucial for clinical workflows.
Purpose of the Study:
- To develop a configurable, open-source Java framework for receiving, modifying, and exporting DICOM images.
- To address interoperability issues and facilitate data exchange within diverse PACS environments.
- To create a flexible platform adaptable to various clinical imaging scenarios and future applications.
Main Methods:
- Developed a framework with receiver, processing pipeline (configurable plug-ins), and sender components.
- Implemented user-programmable plug-ins using Extensible Stylesheet Language Transformations (XSLT) for DICOM to XML conversion.
- Supported input/output via DICOM Storage service, CD-ROMs, and local file systems.
Main Results:
- Successfully applied the toolbox to correct non-Integrating the Healthcare Enterprise (IHE) conform DICOM objects.
- Enabled pseudonaming of DICOM images and facilitated IHE Portable Data for Imaging (PDI) profile usage.
- Demonstrated reliability and adaptability in clinical routine scenarios.
Conclusions:
- The developed framework provides a reliable and configurable solution for DICOM image manipulation and exchange.
- Open programming interfaces allow for easy adaptation to evolving clinical needs and future applications.
- The toolbox enhances interoperability and workflow efficiency in PACS environments.
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