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DICOM and Image Ontology
Image Ontology Workshop 2006
Stanford University
Anand Kumar
MD, PhD, MBA
IFOMIS, Univ. of Saarland, Germany.
Siemens Medical Solutions, Germany.
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DICOM
Digital Imaging and Communications in Medicine
Joint standard from American College of Radiology and
National Electronic Manufacturer’s Association
A standard method for transferring images and associated
Information between devices manufactured by vendors
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Addresses the needs particularly of Radiologists
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Basic definitions
Information Object (Class):
An abstraction of a real information entity
(e.g., CT Image, Structured Report, etc.)
which is acted upon by one or more DICOM Commands
Synonym of Information Object Definition (IOD)
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Service Class:
A structured description of a service which is supported
by cooperating DICOM Applications
using specific DICOM Commands acting
on a specific class of Information Object.
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Information Object Classes
Normalized Information Object Class:
Includes only those Attributes inherent
in the real-world entity represented.
Composite Information Object Class:
May additionally include Attributes which
are related to but not inherent in the real-world entity.
E.g. Patient Name together with
Computed Tomography Image Information Object Class
Expresses the communication requirements of images
where image data and
related data needs to be closely associated.
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Entity and Relationship
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DICOM Relations and Attributes (Extra)
General Study Module
Has-study-date
Has-study-time
Has-referring-physician
Has-accession-number
Has-physicians-of-record
Has-physicians-reading-study
Has-reference-study
Has-procedure-code
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DICOM Relations and Attributes (Extra)
General Series Module
Has-modality
Has-laterality
Has-series-date
Has-series-time
Has-performing-physician
Has-protocol
Has-operator
Has-reference-performed-step
Has-related-series
Has-body-part-examined
Has-patient-position
Has-smallest-pixel-value-in-series
Has-Largest-pixel-value-in-series
Has-Imaging-Service-Request
Has-performed-procedure-step
Has-performed-procedure-step-start-time
Has-performed-procedure-step-start-date
Has-performed-protocol-code
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DICOM Relations and Attributes (Extra)
General Image Module
Has-patient-orientation
Has-content-date
Has-content-time
Has-image-type
Has-Acquisition-date
Has-Acquisition-time
Has-referenced-image-sequence
Has-derivation
Has-source-image
Has-referenced-waveform
Has-images-in-acquisition (could be put in the acquisition process module)
Has-quality-control-image
Has-burned-in-annotation
Has-lossy-image-compression
Has-lossy-image-compression-ratio
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DICOM Relations and Attributes (Extra)
Image Pixel Module
Has-samples-per-pixel
Has-photometric-interpretation
Has-rows
Has-columns
Has-bits-allocated
Has-bits-stored
Has-high-bit
Has-pixel-representation
Has-pixel-data
Has-planar-configuration
Has-pixel-aspect-ratio
Has-smallest-image-pixel-value
Has-largest-image-pixel-value
Has-red-palette-color-lookup-table-descriptor
Has-blue-palette-color-lookup-table-descriptor
Has-green-palette-color-lookup-table-descriptor
Has-red-palette-color-lookup-table-data
Has-blue-palette-color-lookup-table-data
Has-green-palette-color-lookup-table-data
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Multiframe Images
Mutiframe Images:
Large number of images can be sent as one object
All attributes equal to all images or their groups sent once
Modality independent functional groups
Modality dependent functional groups
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What should Image Ontology Cover?
Image
Series
Study
Patient
Visit
Secondary Capture
Image Based Reporting
Image Based Diagnosis
Radiotherapy
Clinical Trials
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DICOM Structured Reporting
Template Specifications which include: Concept Name,
Requirement, Value Type, Value Multiplicity, Value Set
Restriction, Relationship Types
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Examples
Reporting
DICOM Image-Related
Object
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Advice
Cover the depth to the extent DICOM does
Use DICOM types
Reclassify them
Provide correct relations
FMA is a reference ontology too
FMA is not small
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DICOM and Image Ontology
Image Ontology Workshop 2006
Stanford University
Anand Kumar
MD, PhD, MBA
IFOMIS, Univ. of Saarland, Germany.
Siemens Medical Solutions, Germany.