Document Detail


A flexible database architecture for mining DICOM objects: the DICOM data warehouse.
MedLine Citation:
PMID:  22080292     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Steve G Langer
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of digital imaging     Volume:  25     ISSN:  1618-727X     ISO Abbreviation:  J Digit Imaging     Publication Date:  2012 Apr 
Date Detail:
Created Date:  2012-03-07     Completed Date:  2012-07-19     Revised Date:  2013-06-27    
Medline Journal Info:
Nlm Unique ID:  9100529     Medline TA:  J Digit Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  206-12     Citation Subset:  IM    
Affiliation:
Radiology Informatics Lab, Mayo Clinic, Rochester, MN 55905, USA. Langer.steve@mayo.edu
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MeSH Terms
Descriptor/Qualifier:
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*
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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