A Flexible Database Architecture for Mining DICOM Objects: the DICOM Data Warehouse
- 12 November 2011
- journal article
- Published by Springer Nature in Journal of Digital Imaging
- Vol. 25 (2) , 206-212
Abstract
Digital Imaging and Communications in Medicine (DICOM) has brought a very high level of standardization to medical images, allowing interoperability in many cases. However, there are still challenges facing the informaticist attempting to data mine DICOM objects. Images (and other objects) from different vintage equipment will encompass different levels of the standard, and there are also proprietary “shadow” tags to be aware of. The database architecture described herein “flattens” such differences by compiling a knowledge base of specific DICOM implementations and mapping variable data elements to a common lexicon for subsequent queries. The project is open sourced, built on open infrastructure, and is available at GitHub.Keywords
This publication has 6 references indexed in Scilit:
- Informatics in Radiology: Efficiency Metrics for Imaging Device ProductivityRadioGraphics, 2011
- Cloud Technologies for Bioinformatics ApplicationsIEEE Transactions on Parallel and Distributed Systems, 2010
- An Automated DICOM Database Capable of Arbitrary Data Mining (Including Radiation Dose Indicators) for Quality MonitoringJournal of Digital Imaging, 2010
- Challenges for Data Storage in Medical Imaging ResearchJournal of Digital Imaging, 2010
- TCP/IP Optimization over Wide Area Networks: Implications for TeleradiologyJournal of Digital Imaging, 2010
- A usability study of the PubMed on Tap user interface for PDAs.2004