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The NifTK software platform for image-guided interventions: platform overview and NiftyLink messaging.

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Area of Science:

  • Medical image analysis
  • Surgical robotics
  • Software engineering for medical devices

Background:

  • Image-guided interventions require integrated software for real-time data processing.
  • Assembling flexible and reliable systems for surgical data is challenging.
  • Existing platforms may lack high-performance streaming capabilities for diverse data types.

Purpose of the Study:

  • To present the NifTK software platform for image-guided interventions.
  • To introduce NiftyLink, a high-performance messaging library for real-time data streaming.
  • To demonstrate the capabilities of the NiftyGuide applications and NiftyIGI visualization tool.

Main Methods:

  • Developed NiftyLink messaging library using OpenIGTLink protocol for asynchronous, reliable, two-way communication.
  • Created NiftyGuide applications for data acquisition from position trackers and ultrasound scanners.
  • Integrated NiftyLink with NiftyIGI, a workstation-based visualization application built on MITK.

Main Results:

  • NiftyLink achieved low latency for tracking data (0.31 ms at 1024 fps) and image data (6.06 ms at 32 fps for 512 KB images).
  • NiftyIGI successfully processed stereo HD laparoscopic video (30 fps), tracking data (20-30 fps), and ultrasound data (20 fps).
  • Rendering refresh rates between 2-20 Hz were maintained with no loss of user interaction.

Conclusions:

  • The NifTK platform, including NiftyLink and NiftyIGI, is effective for image-guided surgery research.
  • The developed software components are suitable for various image-guided surgery projects.
  • NifTK platform and NiftyLink are available open-source for broader research adoption.