Journal Article

Bridging the integration gap between imaging and information systems: a uniform data concept for content-based image retrieval in computer-aided diagnosis

Petra Welter, Jörg Riesmeier, Benedikt Fischer, Christoph Grouls, Christiane Kuhl and Thomas M Deserno (né Lehmann)

in Journal of the American Medical Informatics Association

Published on behalf of American Medical Informatics Association

Volume 18, issue 4, pages 506-510
Published in print July 2011 | ISSN: 1067-5027
Published online July 2011 | e-ISSN: 1527-974X | DOI: http://dx.doi.org/10.1136/amiajnl-2010-000011
Bridging the integration gap between imaging and information systems: a uniform data concept for content-based image retrieval in computer-aided diagnosis

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  • Medical Statistics and Methodology
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Abstract

It is widely accepted that content-based image retrieval (CBIR) can be extremely useful for computer-aided diagnosis (CAD). However, CBIR has not been established in clinical practice yet. As a widely unattended gap of integration, a unified data concept for CBIR-based CAD results and reporting is lacking. Picture archiving and communication systems and the workflow of radiologists must be considered for successful data integration to be achieved. We suggest that CBIR systems applied to CAD should integrate their results in a picture archiving and communication systems environment such as Digital Imaging and Communications in Medicine (DICOM) structured reporting documents. A sample DICOM structured reporting template adaptable to CBIR and an appropriate integration scheme is presented. The proposed CBIR data concept may foster the promulgation of CBIR systems in clinical environments and, thereby, improve the diagnostic process.

Keywords: Diagnosis; computer-assisted; content-based image retrieval (CBIR); picture archiving and communication system (PACS (radiology); digital imaging and communications in medicine (DICOM) structured reporting (SR); health Level 7 (HL7); RWTH; helmholtz; radiology; image processing; data management; interfaces; protocols

Journal Article.  3395 words.  Illustrated.

Subjects: Medical Statistics and Methodology ; Bioinformatics and Computational Biology ; Biomathematics and Statistics

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