Literature DB >> 16763933

An ontology for PACS integration.

Charles E Kahn1, David S Channin, Daniel L Rubin.   

Abstract

An ontology describes a set of classes and the relationships among them. We explored the use of an ontology to integrate picture archiving and communication systems (PACS) with other information systems in the clinical enterprise. We created an ontological model of thoracic radiology that contained knowledge of anatomy, imaging procedures, and performed procedure steps. We explored the use of the model in two use cases: (1) to determine examination completeness and (2) to identify reference (comparison) images obtained in the same imaging projection. The model incorporated a total of 138 classes, including radiology orderables, procedures, procedure steps, imaging modalities, patient positions, and imaging planes. Radiological knowledge was encoded as relationships among these classes. The ontology successfully met the information requirements of the two use-case scenarios. Ontologies can represent radiological and clinical knowledge to integrate PACS with the clinical enterprise and to support the radiology interpretation process.

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Mesh:

Year:  2006        PMID: 16763933      PMCID: PMC3045159          DOI: 10.1007/s10278-006-0627-3

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  23 in total

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Authors: 
Journal:  Radiology       Date:  2000-06       Impact factor: 11.105

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Authors:  M Henderson; F M Behlen; C Parisot; E L Siegel; D S Channin
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3.  Integrating the Healthcare Enterprise: a primer. Part 1. Introduction.

Authors:  E L Siegel; D S Channin
Journal:  Radiographics       Date:  2001 Sep-Oct       Impact factor: 5.333

4.  Automating data acquisition into ontologies from pharmacogenetics relational data sources using declarative object definitions and XML.

Authors:  Daniel L Rubin; Micheal Hewett; Diane E Oliver; Teri E Klein; Russ B Altman
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5.  Relational data model for the American College of Radiology Appropriateness Criteria.

Authors:  Chris L Sistrom; Janice C Honeyman
Journal:  J Digit Imaging       Date:  2002-11-06       Impact factor: 4.056

Review 6.  Understanding DICOM and IHE.

Authors:  Adam E Flanders; John A Carrino
Journal:  Semin Roentgenol       Date:  2003-07       Impact factor: 0.800

7.  A reference ontology for biomedical informatics: the Foundational Model of Anatomy.

Authors:  Cornelius Rosse; José L V Mejino
Journal:  J Biomed Inform       Date:  2003-12       Impact factor: 6.317

8.  The Gene Ontology (GO) database and informatics resource.

Authors:  M A Harris; J Clark; A Ireland; J Lomax; M Ashburner; R Foulger; K Eilbeck; S Lewis; B Marshall; C Mungall; J Richter; G M Rubin; J A Blake; C Bult; M Dolan; H Drabkin; J T Eppig; D P Hill; L Ni; M Ringwald; R Balakrishnan; J M Cherry; K R Christie; M C Costanzo; S S Dwight; S Engel; D G Fisk; J E Hirschman; E L Hong; R S Nash; A Sethuraman; C L Theesfeld; D Botstein; K Dolinski; B Feierbach; T Berardini; S Mundodi; S Y Rhee; R Apweiler; D Barrell; E Camon; E Dimmer; V Lee; R Chisholm; P Gaudet; W Kibbe; R Kishore; E M Schwarz; P Sternberg; M Gwinn; L Hannick; J Wortman; M Berriman; V Wood; N de la Cruz; P Tonellato; P Jaiswal; T Seigfried; R White
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

Review 9.  A framework for improving radiology reporting.

Authors:  Chris L Sistrom; Curtis P Langlotz
Journal:  J Am Coll Radiol       Date:  2005-02       Impact factor: 5.532

10.  The Zebrafish Information Network (ZFIN): the zebrafish model organism database.

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  6 in total

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Authors:  Daniel L Rubin; Adam Flanders; Woojin Kim; Khan M Siddiqui; Charles E Kahn
Journal:  J Digit Imaging       Date:  2011-02       Impact factor: 4.056

2.  Creating and curating a terminology for radiology: ontology modeling and analysis.

Authors:  Daniel L Rubin
Journal:  J Digit Imaging       Date:  2007-09-15       Impact factor: 4.056

3.  A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging.

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4.  Workflow Lexicons in Healthcare: Validation of the SWIM Lexicon.

Authors:  Chris Meenan; Bradley Erickson; Nancy Knight; Jewel Fossett; Elizabeth Olsen; Prerna Mohod; Joseph Chen; Steve G Langer
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

5.  Biomedical imaging ontologies: A survey and proposal for future work.

Authors:  Barry Smith; Sivaram Arabandi; Mathias Brochhausen; Michael Calhoun; Paolo Ciccarese; Scott Doyle; Bernard Gibaud; Ilya Goldberg; Charles E Kahn; James Overton; John Tomaszewski; Metin Gurcan
Journal:  J Pathol Inform       Date:  2015-06-23

6.  Protégé: a tool for managing and using terminology in radiology applications.

Authors:  Daniel L Rubin; Natalya F Noy; Mark A Musen
Journal:  J Digit Imaging       Date:  2007-08-09       Impact factor: 4.056

  6 in total

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