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OpenIGTLink: an open network protocol for image-guided therapy environment.

Junichi Tokuda1, Gregory S Fischer, Xenophon Papademetris

  • 1Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA. tokuda@bwh.harvard.edu

The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS
|July 22, 2009
PubMed
Summary

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This summary is machine-generated.

A new network protocol, OpenIGTLink, enables seamless data sharing for image-guided therapy (IGT) systems. This open and extensible solution enhances device interoperability and accelerates clinical translation.

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Computer Science

Background:

  • Growing research in system integration for image-guided therapy (IGT) necessitates standardized communication.
  • Key data shared include target positions, images, and device status.
  • Current systems face challenges in seamless data exchange.

Purpose of the Study:

  • To introduce OpenIGTLink, a novel network communication protocol for IGT.
  • To establish an open, simple, and extensible standard for data transfer.
  • To evaluate the protocol's performance and feasibility in clinical and engineering settings.

Main Methods:

  • Development of the OpenIGTLink protocol for transferring transform, image, and status messages.
  • Performance testing measuring latency and frame rates for data transfer.

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  • Use-case evaluations across five diverse clinical and engineering scenarios.
  • Main Results:

    • OpenIGTLink achieved submillisecond latency for position data at up to 1024 fps.
    • Image transfer demonstrated latency under 10 ms at 32 fps.
    • Feasibility of device and software integration was confirmed through use-case tests.

    Conclusions:

    • The OpenIGTLink protocol effectively handles IGT data with high time resolution and low latency.
    • It significantly improves interoperability between IGT devices and software.
    • The protocol facilitates the transition of research prototypes into clinical applications.