TubeTK: Difference between revisions

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<h1><center><b>TubeTK</b></center></h1>
[[image:TubeTK_Logo.jpg]]<h1><center><b>TubeTK</b></center></h1>


= Overview =
= Overview =


TubeTK is being developed to host algorithms for applications involving vascular images.  It is intended to provide modules that can be integrated into [http://www.slicer.org Slicer].
TubeTK is being developed to host algorithms for applications involving images of tubesBy focusing on the geometry of tubes we can accomplish grand challenges in image analysis in a subset of significant cases.
 
Applications being pursued include:
* 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 modalities involved include:
* MR and CT
* Ultrasound
* Video
* Light Microscopy
* X-ray Microscopy
 
Features of TubeTK include:
* Centerline vascular segmentation
* Vascular atlas formation
* Vascular network to image registration
* Organ segmentation
* Vascular-ness measures


== Driving problems ==
== Driving problems ==
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You may obtain a copy of the License at
You may obtain a copy of the License at


= Project Development =
== Collaborative Software Development Tools ==
* Dashboard
** https://www.kitware.com/CDash/index.php?project=TubeTK
** Analytics on dashboard: https://www.google.com/analytics/settings/home#scid=15664873
* Git
** Website: http://gitorious.org/tubetk/
** Main Repository:
*** git clone git://gitorious.org/tubetk/tubetk.git
*** git push git@gitorious.org:tubetk/tubetk.git master
** Playpen
*** git clone git://gitorious.org/tubetk/tubetk-playpen.git
*** git push git@gitorious.org:tubetk/tubetk-playpen.git
* Mantis
** TBD
* Doxygen
** TBD
== Required third-party tools ==
* ITK
** cvs -d :pserver:<YOURNAME>@itk.org:/cvsroot/Insight login ...
** ITK recommends uuid-dev package on Linux
== Optional third-party tools ==
* Slicer (our preferred method delivery tool)
** svn co http://svn.slicer.org/Slicer3/trunk Slicer4
** Requires Qt>=4.6.1 (note: 4.6.2 included with Ubuntu 10.04)
* InsightApplications (Utility apps)
** cvs -d :pserver:<YOURNAME>@itk.org:/cvsroot/Insight co InsightApplications
** ImageViewer requires FLTK 1.1.X and VTK
** ImageColorViewer is a great way to view image registration results.
*** svn co http://svn.easysw.com/public/fltk/fltk/branches/branch-1.1/ fltk-1.1.10
*** http://qt.nokia.com/downloads
** Requires:
*** VTK
**** git clone git://vtk.org/VTK.git VTK
*** FLTK
**** apt-get install fluid
* IPython (Batch Processing)
** http://ipython.scipy.org/
** Using IPython for scientific and parallel computing
*** https://www.osc.edu/cms/sip/


= Project Administration =
= Project Administration =

Revision as of 17:49, 21 July 2010

TubeTK Logo.jpg

TubeTK

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.

Applications being pursued include:

  • 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 modalities involved include:

  • MR and CT
  • Ultrasound
  • Video
  • Light Microscopy
  • X-ray Microscopy

Features of TubeTK include:

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

Driving problems

Funding

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

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

License

TubeTK is distributed under the [http://www.apache.org/licenses/LICENSE-2.0 Apache 2.0 license]. You are free to use, modify, and redistribute TubeTK for non-commercial and commercial uses. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at


Project Administration

Documentation

Contacts

  • Stephen Aylward
    • stephen.aylward@kitware.com
  • Andinet Enquobaharie
  • Casey Goodlett
  • Patrick Reynolds
  • Hua Yang