TubeTK

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TubeTK Header.jpg

Overview

TubeTK is being developed to host algorithms for applications involving images of tubes. By focusing on the geometry of tubes we can accomplish grand challenges in image analysis in a subset of significant cases.

Features

  • Centerline vascular segmentation
  • Vascular atlas formation
  • Vascular network to image registration
  • Organ segmentation
  • Vascular-ness measures
  • Multi-modality support

Driving Applications

Technical Focus

  • Vascular pattern analysis is the characterization and comparison of individuals and populations based on "spatial graphs" as representations of vascular networks.
  • Sliding organ registration are methods for registering images of multiple organs in which the organs may have shifted, expanded, or compressed independently.
  • Intra-operative ultrasound registration is the grand challenge of real-time transcription of pre-operative surgical plans into intra-operative ultrasound images.

Developers

Users

Data and Publications

Support

  • Users and Developers email lists (email lists are closed during Beta development)

Team Members and Collaborators

  • Kitware
  • Brigham and Women's Hospital
  • Duke University
  • BrainLAB

Funding

The development of TubeTK is being funded, in part, by the following grants

  1. NIH/NIBIB sponsored "National Alliance of Medical Image Computing" (NA-MIC, PI: Kikinis) project
  2. DARPA sponsored "Trust in Integrated Circuits" (EXPOSE, PI: Bajura) program
  3. NIH/NCI sponsored "Image Registration for Ultrasound-Based Neurosurgical Navigation" (NeuralNav, PI: Aylward, Wells)

License

  • TubeTK is distributed under the Apache 2.0 license.
    • You are free to use, modify, and redistribute TubeTK for non-commercial and commercial uses.

Thank You!

TubeTK is builds upon and contributes back to a variety of open-source efforts, including the following:

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ITK
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Slicer
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CTK
NeuralNav-CMakeLogo.jpg
CMake
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CDash
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MIDAS