| A flexible database architecture for mining DICOM objects: the DICOM data warehouse. | |
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MedLine Citation:
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PMID: 22080292 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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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Authors:
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Steve G Langer |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of digital imaging Volume: 25 ISSN: 1618-727X ISO Abbreviation: J Digit Imaging Publication Date: 2012 Apr |
Date Detail:
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Created Date: 2012-03-07 Completed Date: 2012-07-19 Revised Date: 2013-04-01 |
Medline Journal Info:
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Nlm Unique ID: 9100529 Medline TA: J Digit Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 206-12 Citation Subset: IM |
Affiliation:
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Radiology Informatics Lab, Mayo Clinic, Rochester, MN 55905, USA. Langer.steve@mayo.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Data Mining / methods* Database Management Systems Databases, Factual Humans Information Storage and Retrieval / methods Medical Informatics / methods Quality Assurance, Health Care / methods* Radiology Information Systems* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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