Document Detail


Semantic localization-driven partial image retrieval in CT series.
MedLine Citation:
PMID:  23154618     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: Picture archiving and communication systems (PACS) contain very large amounts of computed tomography (CT) data. When querying a PACS for a particular series, the user is often not interested in the complete series but in a certain region of interest (ROI), described e.g. by an example view in another series or an anatomical concept.
OBJECTIVES: Restricting a retrieval query to such an ROI saves both loading time and navigational effort. In this paper, we propose an efficient method for defining and retrieving ROIs.
METHODS: We employ interpolation and regression techniques for mapping the slices of a series to a newly generated standardized height atlas of the human body.
RESULTS: Examinations of the accuracy and the saved input/output (I/O) costs of our new method on a repository of 1,360 CT series demonstrate the advantages of our system. Depending on the scope of the retrieval query, we can economize up to 99% of the total loading time.
CONCLUSION: Our proposed method for flexible, context-based, partial image retrieval enables the user to directly focus on the relevant portion of the image material and it targets the high potential of I/O cost reduction of a common PACS.
Authors:
A Cavallaro; H-P Kriegel; M Petri; M Schubert
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-11-16
Journal Detail:
Title:  Methods of information in medicine     Volume:  51     ISSN:  0026-1270     ISO Abbreviation:  Methods Inf Med     Publication Date:  2012  
Date Detail:
Created Date:  2012-12-05     Completed Date:  2013-12-13     Revised Date:  2014-06-20    
Medline Journal Info:
Nlm Unique ID:  0210453     Medline TA:  Methods Inf Med     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  557-65     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Humans
Information Storage and Retrieval / methods*,  standards
Radiology Information Systems
Semantics*
Tomography, X-Ray Computed*

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


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