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Query Techniques for Accessing Imaging Information

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Query Techniques for Accessing Imaging Information

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    1. 1 Query Techniques for Accessing Imaging Information

    2. 2 Session Information Session #: 754 Title: Query Techniques for Accessing Imaging Information Date/Time: August 11, 2010 – 1:30 – 3:00 If this is not the session you signed up for, you are in the wrong roomIf this is not the session you signed up for, you are in the wrong room

    3. 3 Presented by Roy Seabolt VA VistA Imaging Team Harris Corporation Silver Spring, MD

    4. 4 Introduction Presenter Background Over 25 years of varied IT experience Commercial Healthcare IT since 1996 VA Healthcare since 2009 Medical Imaging specialties include Business Analysts (Patch 66 and Patch 116) DICOM and HL7 Workflow Analysis and Redesign

    5. 5 Disclaimer It should be noted that I am a contractor for the Department of Veterans Affairs and any mention of 3rd party products in this presentation is purely for reference purposes and in no way should be considered an endorsement of that product. Contents may not necessarily reflective of VA policy.

    6. 6 Session Outline Uses of clinical image information Building image access into workflow How medical information standards improve image availability Building effective queries The future: cross-agency interoperability

    7. 7 Session Objectives At the end of this session: Identify the clinicians and administrators who need to retrieve image information Distinguish at least 3 purposes for using archived images Explain the characteristics of VistA Imaging Query/Retrieve Choose appropriate attributes for image identification Build fast, effective queries for retrieving images Target audience: VistA Imaging coordinators, CACs and CIS staff When preparing this presentation, this is where I put my focus – meeting the learning objectives Target audience: VistA Imaging coordinators, CACs and CIS staff When preparing this presentation, this is where I put my focus – meeting the learning objectives

    8. 8 What is DICOM? DICOM Digital Imaging & Communications in Medicine Dictionary.comDictionary.com

    9. 9 Purpose of DICOM? To facilitate communication between various imaging modalities and other components The standard to allow a common set of rules and protocols between vendors in the Medicine field, specifically radiology (imaging) Predecessor to the DICOM standard was ACR-NEMA 2.0 Introduced in 1993 at RSNA Most widely adopted standard in use in the medical imaging field DICOM Standard available at: http:/medical.nema.org/DICOM/ Has expanded beyond radiology to other fields (dental, opthamology)Has expanded beyond radiology to other fields (dental, opthamology)

    10. 10 Parts of the DICOM Standard Introduction and Overview Conformance Information Object Definitions Service Class Specifications Data Structures and Encoding Data Dictionary Message Exchange Network Message Support for Message Exchange Medical Storage and File Format for Media Interchange 18 parts to the DICOM Standard – 100’s of page, 2008 standard, 2009 standard18 parts to the DICOM Standard – 100’s of page, 2008 standard, 2009 standard

    11. 11 Parts of the DICOM Standard Media Storage Application Profiles Media Formats and Physical Media for Media Interchange Print Management Point-to-Point Communications Support Grayscale Standard Display Function Security Profiles Content Mapping Resource Explanatory Information Web Access to DICOM Persistent Objects Additional Supplements continuously added to the base as neededAdditional Supplements continuously added to the base as needed

    12. 12 Some Terms to Know PACS – Picture Archival and Communication System. System designed to store and retrieve a patient’s medical Images. Historically Radiology-centered. cPACS – Commercial PACS Mini-PACS – Specialized PACS Modality – an image capture/processing device that complies with the DICOM Standard. DICOM Q/R – DICOM Query/Retrieve DICOM Q/R – this is different from a traditional database Q/RDICOM Q/R – this is different from a traditional database Q/R

    13. 13 Some Terms to Know Attribute tag: A unique identifier for an Attribute of an Information Object composed of an ordered pair of numbers (a Group Number followed by an Element number). Message – Describes Command and Data Sets. The data sets generally contains the demographic header and assigned image(s). Object – single file, multiple partsObject – single file, multiple parts

    14. 14 Common Acronyms in DICOM AET - Application Entity Title DIMSE – DIcom Message Service Element SCP – Service Class Provider SCU – Service Class User UID – Unique Identifier Study Instance UID Series Instance UID SOP Instance UID DIMSE – Messaging protocol 3 UID’s within a DICOM ObjectDIMSE – Messaging protocol 3 UID’s within a DICOM Object

    15. 15 DICOM Information Objects Image – Original DICOM Object Other Objects Encapsulated PDF Files Structured Reports Radiation Therapy Plans Waveform Files

    16. 16 DICOM Objects DICOM Images are a Composite Format Image data of the actual picture (pixels) A “Header” area at the beginning containing DICOM elements Patient Identifying information Exam information (Accession number, study date) Image information (geometry, attributes)

    17. 17 DICOM Object Definitions Each type of DICOM object: Has a unique identifier (SOP Class UID) Is composed of elements Each element has a specific definition Type 1 fields = Required Type 2 fields = Required (must be present, but may be empty) Type 3 fields – Optional Tags (Elements) Public Tags Private Tags

    18. 18 DICOM Elements Group/Element – Unique address representing each unit of information stored in the message header Each Group - represents a type of information Patient General Study Series Image

    19. 19 DICOM Modules Patient Module (0x00100010,PN,“PATIENT^Name") # Patient's Name (0x00100020,LO,"5MR2") # Patient ID (0x00100030,DA,"19500112") # Patient's Birth Date (0x00100040,CS,"M ") # Patient's Sex (0x00101030,DS,"70") # Patient's Weight

    20. 20 DICOM Modules Series Module (0x00185100,CS,"HFS ") # Patient Position (0x0020000D,UI,"1.3.6.1.4.1.5962.1.2.5.20040826185059.5457") # Study Instance UID (0x0020000E,UI,"1.3.6.1.4.1.5962.1.3.5.1.20040826185059.5457") # Series Instance UID (0x00200010,SH,"5MR2") # Study ID (0x00200011,IS,"1 ") # Series Number (0x00200012,IS,"13") # Acquisition Number (0x00200013,IS,"5 ") # Instance Number

    21. 21 DICOM Modules Image Module (0x00280002,US,0x0001) # Samples per Pixel (0x00280004,CS,"MONOCHROME2 ") # Photometric Interpretation (0x00280010,US,0x0400) # Rows (0x00280011,US,0x0400) # Columns (0x00280030,DS,"0.195313","0.195313 ") # Pixel Spacing (0x00280100,US,0x0010) # Bits Allocated (0x00280101,US,0x000C) # Bits Stored (0x00280102,US,0x000B) # High Bit (0x00280103,US,0x0000) # Pixel Representation (0x00281050,DS,"1000") # Window Center (0x00281051,DS,"2000") # Window Width

    22. 22 Every single image contains all three of these Instance UIDs.

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