TubeTK: Difference between revisions

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== Developers ==
== Developers ==


* [[TubeTK/Development | Installation and development instructions]]
* [[TubeTK/Development | Directions for developers]]
* [[TubeTK/Events | Events and meetings]]
* [[TubeTK/Events | Events and meetings for developers]]


== Users ==
== Users ==

Revision as of 14:27, 8 November 2010


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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

  • Diagnosis of retinopathy of prematurity
  • Analysis of vascular differences within and between populations to identify focal (e.g., stroke) and diffuse (e.g., schizophrenia) diseases.
  • Vascular atlas formation
  • Radiofrequency ablation guidance via intra-operative registration of pre-op CT with intra-op Ultrasound
  • Brain tumor resection guidance via intra-operative registration
  • Imaging tumor micro-environments (with UNC BME Dept.)

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
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CMake
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CDash
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MIDAS