Image acquisition context: procedure description attributes for clinically relevant indexing and selective retrieval of biomedical images.
Journal Article
Objective
To support clinically relevant indexing of biomedical images and image-related information based on the attributes of image acquisition procedures and the judgments (observations) expressed by observers in the process of image interpretation.Design
The authors introduce the notion of "image acquisition context," the set of attributes that describe image acquisition procedures, and present a standards-based strategy for utilizing the attributes of image acquisition context as indexing and retrieval keys for digital image libraries.Methods
The authors' indexing strategy is based on an interdependent message/terminology architecture that combines the Digital Imaging and Communication in Medicine (DICOM) standard, the SNOMED (Systematized Nomenclature of Human and Veterinary Medicine) vocabulary, and the SNOMED DICOM microglossary. The SNOMED DICOM microglossary provides context-dependent mapping of terminology to DICOM data elements.Results
The capability of embedding standard coded descriptors in DICOM image headers and image-interpretation reports improves the potential for selective retrieval of image-related information. This favorably affects information management in digital libraries.Full Text
Duke Authors
Cited Authors
- Bidgood, WD; Bray, B; Brown, N; Mori, AR; Spackman, KA; Golichowski, A; Jones, RH; Korman, L; Dove, B; Hildebrand, L; Berg, M
Published Date
- January 1999
Published In
Volume / Issue
- 6 / 1
Start / End Page
- 61 - 75
PubMed ID
- 9925229
Pubmed Central ID
- 9925229
Electronic International Standard Serial Number (EISSN)
- 1527-974X
International Standard Serial Number (ISSN)
- 1067-5027
Digital Object Identifier (DOI)
- 10.1136/jamia.1999.0060061
Language
- eng