DICOM Attribute
Burned In Annotation (0028,0301)
- Keyword
BurnedInAnnotation- VR
CS- VM
1
Definition
Indicates whether or not image contains sufficient burned in annotation to identify the patient and date the image was acquired. If this Attribute is absent, then the image may or may not contain burned in annotation. Enumerated Values: YES NO
From NEMA PS3.3 §C.7.6.1.
Attribute Metadata
This attribute is part of the current DICOM Standard. Its value representation is CS with multiplicity 1.
Used in 20 Modules
- Corneal Topography Map Image 1
- DX Image 1
- Encapsulated Document 1
- Enhanced CT Image 1C
- Enhanced Mammography Image 1
- Enhanced MR Image 1C
- Enhanced PET Image 1C
- Enhanced US Image 1
- Enhanced XA/XRF Image 1
- General Image 3
- Intravascular OCT Image 1
- Ophthalmic Optical Coherence Tomography B-scan Volume Analysis Image 1
- Ophthalmic Optical Coherence Tomography En Face Image 1
- Ophthalmic Photography Image 1
- Ophthalmic Thickness Map 1
- Ophthalmic Tomography Image 1
- Parametric Map Image 1
- SC Multi-frame Image 1
- Whole Slide Microscopy Image 1
- X-Ray 3D Image 1
Value Representation
This attribute uses the CS
Value Representation. Multiplicity 1 governs how many values may be encoded.
Integration Notes
Real-world integration guidance for engineers implementing this attribute in Mirth Connect, FHIR gateways, HL7 v2 bridges, and cloud DICOM services. Authoritative source data where available; reference examples and operational notes where they add value.
FHIR Mapping
No direct FHIR ImagingStudy mapping published for this attribute. Some tags map indirectly via the Patient, Endpoint, or ImagingSelection resources — Phase 2b will expand coverage to those.
HL7 v2 Equivalent
No standard HL7 v2 equivalent published for this attribute. Imaging-only attributes (Image Pixel data, technical acquisition parameters, modality-specific values) typically have no HL7 v2 carrier.
Cloud DICOM Support
AWS HealthImaging, Azure DICOM, and GCP Healthcare DICOM coverage rolls out by attribute. The QIDO-RS matching keys + Patient/Study/Series core (~50 attributes) are documented; lower-traffic attributes will be added as Saga teams encounter them in production.
Real-World Sample Values
No representative sample value available — this attribute isn't present in the de-identified pydicom fixture set. Add a fixture covering this attribute to expand coverage.
Mirth Connect Example
JavaScript transformer snippets for the most-queried tags will be added as coverage expands.
Common Operational Errors
Operational error patterns for the most-queried tags will be added as coverage expands.
DICOM Integration Services
Saga IT builds production DICOM integrations across Mirth Connect, FHIR gateways, and cloud imaging platforms. If you're working with BurnedInAnnotation or the broader (0028,0301) context:
- Medical Imaging & DICOM Integration — end-to-end PACS, VNA, and cloud imaging deployments
- Mirth Connect Services — production-grade Mirth channel development
- Healthcare AI Integration — DICOM pipelines for AI/ML inference