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DICOM and Image Ontology Image Ontology Workshop 2006 Stanford University

B I O M E D I C A L O N T O L O G Y. DICOM and Image Ontology Image Ontology Workshop 2006 Stanford University. Anand Kumar MD, PhD, MBA I FOMIS, Univ. of Saarland, Germany. Siemens Medical Solutions, Germany. B I O M E D I C A L O N T O L O G Y. DICOM.

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DICOM and Image Ontology Image Ontology Workshop 2006 Stanford University

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  1. B I O M E D I C A L O N T O L O G Y DICOM and Image OntologyImage Ontology Workshop 2006Stanford University Anand Kumar MD, PhD, MBA IFOMIS, Univ. of Saarland, Germany. Siemens Medical Solutions, Germany.

  2. B I O M E D I C A L O N T O L O G Y 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 Addresses the needs particularly of Radiologists

  3. B I O M E D I C A L O N T O L O G Y 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) 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.

  4. B I O M E D I C A L O N T O L O G Y 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.

  5. B I O M E D I C A L O N T O L O G Y Entity and Relationship

  6. B I O M E D I C A L O N T O L O G Y 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

  7. B I O M E D I C A L O N T O L O G Y 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

  8. B I O M E D I C A L O N T O L O G Y 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

  9. B I O M E D I C A L O N T O L O G Y 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

  10. B I O M E D I C A L O N T O L O G Y 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

  11. B I O M E D I C A L O N T O L O G Y What should Image Ontology Cover? Image Series Study Patient Visit Secondary Capture Image Based Reporting Image Based Diagnosis Radiotherapy Clinical Trials

  12. B I O M E D I C A L O N T O L O G Y DICOM Structured Reporting Template Specifications which include: Concept Name, Requirement, Value Type, Value Multiplicity, Value Set Restriction, Relationship Types

  13. B I O M E D I C A L O N T O L O G Y

  14. B I O M E D I C A L O N T O L O G Y Examples Reporting DICOM Image-Related Object

  15. B I O M E D I C A L O N T O L O G Y 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

  16. B I O M E D I C A L O N T O L O G Y DICOM and Image OntologyImage Ontology Workshop 2006Stanford University Anand KumarMD, PhD, MBA IFOMIS, Univ. of Saarland, Germany. Siemens Medical Solutions, Germany.

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