DICOM Attribute
Lossy Image Compression Method (0028,2114)
- Keyword
LossyImageCompressionMethod- VR
CS- VM
1-n
Definition
A label for the lossy compression method(s) that have been applied to this image. See .
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-n.
Used in 18 Modules
- Corneal Topography Map Image 1C
- Enhanced CT Image 1C
- Enhanced Mammography Image 1C
- Enhanced MR Image 1C
- Enhanced PET Image 1C
- Enhanced US Image 1C
- Enhanced XA/XRF Image 1C
- General Image 3
- Intravascular OCT Image 1C
- Ophthalmic Optical Coherence Tomography B-scan Volume Analysis Image 1C
- Ophthalmic Optical Coherence Tomography En Face Image 1C
- Ophthalmic Photography Image 1C
- Ophthalmic Thickness Map 1C
- Ophthalmic Tomography Image 1C
- Parametric Map Image 1C
- Segmentation Image 1C
- Whole Slide Microscopy Image 1C
- X-Ray 3D Image 1C
Value Representation
This attribute uses the CS
Value Representation. Multiplicity 1-n 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 LossyImageCompressionMethod or the broader (0028,2114) 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