OpenIGTLink newpage

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Overview

The OpenIGTLink protocol is a simple but extensible data format to transfer various types of data among software and devices used in image-guided therapy (IGT) e.g. surgical navigation software, tracking device, robotic device, imaging scanner. The protocol can handle images, tracking data, transforms, device control commands, and other user-defined data types. It is designed to work in the application layer of the TCP/IP stack, but not limited to it; developers can use this protocol with UDP/IP or other network protocol models. The OpenIGTLink protocol is supported in medical image processing and visualization software 3D Slicer.

Integration of transperineal prostate robot and navigation software (BRP -- Brigham and Women's Hospital/Johns Hopkins University/Queen's University/Acoustic Med Systems
Prototype integration of a neurosurgical robot and Slicer3 using OpenIGTLink, Hideo Fujimoto, Nagoya Inst Tech., Japan
Screenshot of tracker tool visualization on the 3D Slicer. Brigham and Women's Hopsital
Integration of transperineal prostate robot (BRP -- Brigham and Women's Hospital/Johns Hopkins University/Queen's University/Acoustic Med Systems


Contents


What's New

More...


Protocol

The OpenIGTLink protocol is backward compatible, in the sense that all messages generated by software with OpenIGTLink version 1 interfaces can be imported by those with version 2 interfaces.

Version 1

Version 2 (in draft)

Library

Interfaces / Software

Devices

Please see the list of the OpenIGTLink-compliant hardware and software.


(Please contact us if you would like to include other devices.)

Workshops / Meetings / Tutorials

Meetings / Workshops

Tutorial Materials

People / Organizations

Supports

License

New BSD license ©2008 Insight Software Consortium

Reference

Related pages

Mailing List / Contact

We are launching the OpenIGTLink mailing list (openigtlink@bwh.harvard.edu). If you would like to join, please subscribe from OpenIGTLink ML Info Page or send Junichi Tokuda (tokuda at bwh.harvard.edu) a message with:

  • Your name
  • e-mail address you would like to use to post and receive ML articles
  • Affiliation
  • Your research topic