The DICOM UML Profile Diagram example illustrates how UML can be extended to model medical imaging systems using DICOM-specific stereotypes and tagged values. Key components include Image Object, Patient Information, Study, Series, Modality, and Image Storage, each annotated with DICOM stereotypes to capture domain-specific characteristics. Tagged values represent attributes such as imaging modality, resolution, acquisition date, and patient identifiers. Relationships, including associations, dependencies, and aggregations, depict how imaging data, studies, and series are related and managed. This diagram provides a standardized, clear representation of medical imaging workflows and data structures, enabling interoperability, accurate documentation, and effective system design in healthcare environments.
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