A DICOM mechanism for multicast streaming

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A DICOM mechanismfor multicast streaming

• Rafael MAYORAL, Adrián VÁZQUEZ, Stefan BOHN,
  Oliver BURGERT
• Innovation Center Computer Assisted Surgery,
  University of Leipzig

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Outline

• Motivation
• Isolated systems
• Goal
• Continuous data transmission
• Modeling the system
• A general framework
• DICOM implementation
• Our first implementation
• Conclusion

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Motivation Isolated systems
App
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Goal

• Operating Room of the future
• More integration
• Easy sharing of sensors/actuators/modalities
• Improve workflow
• Combine data into a single data space
• Support the concept of Patient Model
• Create advanced functionalities

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Goal
Sensors/Actuators/Modalities
Workstation
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Goal
Sensors/Actuators/Modalities
Workstation

• Similar to PACS
• Several heterogeneous devices
• Communication infrastructure

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Continuous data transmission
Sensors/Actuators/Modalities
Workstation
But Continuous data transmission
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Modeling the system

• Use case
• get continuous data

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Modeling the system

• Client/Server
• Device description
• Use functionalities
• Two interfaces Management and Data Access

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A general framework

• Describe devices and use functionalities

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DICOM implementation

• Describe devices and use functionalities

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DICOM implementation
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DICOM implementation

• Why DICOM?
• At every point of the process the data will be
  within the PACS logical domain
• The data becomes an integrated part of the
  patients files
• Tight integration with the other hospital areas
• These concepts already present in DICOM
• Use of appropriate external protocols
• Referenced pixel data transfer syntax
• Use of the JPEG 2000 Interactive Protocol (JPIP)
• Describe devices use DIMSE N-Services to
  perform operations
• Print Management Service
• Media Creation Management Service

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DICOM implementation

• DIMSE services implement required services

A-ASSOCIATE
N-GET
N-ACTION
N-EVENT-REPORT
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DICOM implementation

• DICOM IOD describes the devices
• Devices modeled as IODs
• Composed of different modules
• Modules may be reused

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Our first implementation

• What are we working on?

Endoscope
Navigation application
Tracking
Ultrasound
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Our first implementation

• What are we working on?

Endoscope
Navigation application
Tracking
Data streaming using RTP over an Ethernet network
Ultrasound
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Our first implementation

• DICOM IOD Example

Attribute Name Attribute Description
Streaming Device Name User defined name identifying the device.
Manufacturer Manufacturer of the device.

Tracking Device Type Type of tracking device. Enumerated OPTICAL, IR, MAGNETIC

Stream source sequence
gt Stream Source ID

gt Streaming protocol Enumerated RTP
gt Coding Enumerated ICCASTRACKPROTOCOL
gt Pixel Data Provider URL Location where to find the data
Common attributes
Specific device class attributes
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Our first implementation

• DICOM IOD Example

Attribute Name Attribute Description
Streaming Device Name User defined name identifying the device.
Manufacturer Manufacturer of the device.

Tracking Device Type Type of tracking device. Enumerated OPTICAL, IR, MAGNETIC

Stream source sequence
gt Stream Source ID

gt Streaming protocol Enumerated RTP
gt Coding Enumerated ICCASTRACKPROTOCOL
gt Pixel Data Provider URL Location where to find the data
Common attributes
Specific device class attributes
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Our first implementation

• Whats next?
• Integrate dedicated video distribution
  infrastructure
• How to model the video router?
• How to model the video sources?
• What technologies?
• Thorough analysis with increasingly complex
  scenarios

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Conclusion

• Continuous data transmission is a critical
  feature of the Operating Room of the future
• An appropriate architecture needs to deal with
  data and requirements that are heterogeneous
• DICOM possesses the mechanisms to accommodate
  transmission of heterogeneous continuous data
• We have created an experimental implementation
  using DICOM and RTP for streaming
• Future work will include handling additional data
  types with different requirements

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Thank you
Acknowledgement The Innovation Center Computer
Assisted Surgery (ICCAS) at the Faculty of
Medicine at the University of Leipzig is funded
by the German Federal Ministry for Education and
Research (BMBF) and the Saxon Ministry of Science
and the Fine Arts (SMWK) in the scope of the
initiative Unternehmen Region with the grant
numbers 03 ZIK 031 and 03 ZIK 032.