DICOM and Image Ontology Image Ontology Workshop 2006 Stanford University Anand Kumar MD, PhD, MBA...

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DICOM and Image Ontology

Image Ontology Workshop 2006Stanford University

Anand Kumar MD, PhD, MBA

IFOMIS, Univ. of Saarland, Germany.Siemens Medical Solutions, Germany.

BIOMEDICAL

ONTOLOGY

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Digital Imaging and Communications in Medicine

DICOM

Joint standard from American College of Radiology and National Electronic Manufacturer’s Association

A standard method for transferring images and associatedInformation between devices manufactured by vendors

Addresses the needs particularly of Radiologists

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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)

Basic definitions

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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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

Information Object Classes

Normalized Information Object Class:Includes only those Attributes inherent

in the real-world entity represented.

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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General Study Module

Has-study-dateHas-study-time

Has-referring-physicianHas-accession-number

Has-physicians-of-recordHas-physicians-reading-study

Has-reference-studyHas-procedure-code

DICOM Relations and Attributes (Extra)

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General Series Module

Has-modalityHas-laterality

Has-series-dateHas-series-time

Has-performing-physicianHas-protocolHas-operator

Has-reference-performed-stepHas-related-series

Has-body-part-examinedHas-patient-position

Has-smallest-pixel-value-in-seriesHas-Largest-pixel-value-in-series

Has-Imaging-Service-RequestHas-performed-procedure-step

Has-performed-procedure-step-start-timeHas-performed-procedure-step-start-date

Has-performed-protocol-code

DICOM Relations and Attributes (Extra)

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General Image Module

Has-patient-orientationHas-content-dateHas-content-timeHas-image-type

Has-Acquisition-dateHas-Acquisition-time

Has-referenced-image-sequenceHas-derivation

Has-source-imageHas-referenced-waveform

Has-images-in-acquisition (could be put in the acquisition process module)Has-quality-control-imageHas-burned-in-annotation

Has-lossy-image-compressionHas-lossy-image-compression-ratio

DICOM Relations and Attributes (Extra)

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Image Pixel ModuleHas-samples-per-pixel

Has-photometric-interpretationHas-rows

Has-columnsHas-bits-allocated

Has-bits-storedHas-high-bit

Has-pixel-representationHas-pixel-data

Has-planar-configurationHas-pixel-aspect-ratio

Has-smallest-image-pixel-valueHas-largest-image-pixel-value

Has-red-palette-color-lookup-table-descriptorHas-blue-palette-color-lookup-table-descriptor

Has-green-palette-color-lookup-table-descriptorHas-red-palette-color-lookup-table-dataHas-blue-palette-color-lookup-table-data

Has-green-palette-color-lookup-table-data

DICOM Relations and Attributes (Extra)

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Mutiframe Images:

Large number of images can be sent as one objectAll attributes equal to all images or their groups sent once

Modality independent functional groupsModality dependent functional groups

Multiframe Images

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ImageSeriesStudy

Patient Visit

Secondary CaptureImage Based ReportingImage Based Diagnosis

RadiotherapyClinical Trials

What should Image Ontology Cover?

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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

ReportingDICOM Image-Related

Object

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Advice

Cover the depth to the extent DICOM doesUse DICOM types

Reclassify themProvide correct relations

FMA is a reference ontology tooFMA is not small

DICOM and Image Ontology

Image Ontology Workshop 2006Stanford University

Anand Kumar MD, PhD, MBA

IFOMIS, Univ. of Saarland, Germany.Siemens Medical Solutions, Germany.

BIOMEDICAL

ONTOLOGY