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. 1999 Jan-Feb;6(1):61-75.
doi: 10.1136/jamia.1999.0060061.

Image acquisition context: procedure description attributes for clinically relevant indexing and selective retrieval of biomedical images

W D Bidgood Jr  1 , B Bray, N Brown, A R Mori, K A Spackman, A Golichowski, R H Jones, L Korman, B Dove, L Hildebrand, M Berg
Affiliations

Image acquisition context: procedure description attributes for clinically relevant indexing and selective retrieval of biomedical images

W D Bidgood Jr et al. J Am Med Inform Assoc. 1999 Jan-Feb.

Abstract

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.

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Figures

Figure 1
Figure 1
Context-dependent determination of data element values sets by the SNOMED DICOM microglossary. Completely different sets of values are appropriate for this data element in the two closely related clinical contexts illustrated here. For clarity, coded concepts are depicted here as text strings rather than code values.
Figure 2
Figure 2
Structured reporting domain information model.
See this image and copyright information in PMC

References

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    1. Benn DK, Bidgood WD Jr, Pettigrew JC Jr. An imaging standard for dentistry: extension of the radiology DICOM standard. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1993;76:262-5. - PubMed

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