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Published in: Journal of Digital Imaging 2/2012

01-04-2012

A Flexible Database Architecture for Mining DICOM Objects: the DICOM Data Warehouse

Author: Steve G. Langer

Published in: Journal of Imaging Informatics in Medicine | Issue 2/2012

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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.
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Metadata
Title
A Flexible Database Architecture for Mining DICOM Objects: the DICOM Data Warehouse
Author
Steve G. Langer
Publication date
01-04-2012
Publisher
Springer-Verlag
Published in
Journal of Imaging Informatics in Medicine / Issue 2/2012
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-011-9434-6

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