TubeTK: Difference between revisions

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__NOTOC__
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[[image:TubeTK_Logo.jpg ]]<h1><center><b>TubeTK</b></center></h1>
[[image:TubeTK_Logo.jpg|right|frame]]<h1><center><b>TubeTK</b></center></h1>


= Overview =
= Overview =
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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.
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:
== Features of TubeTK ==
* Centerline vascular segmentation
* Vascular atlas formation
* Vascular network to image registration
* Organ segmentation
* Vascular-ness measures
 
== Applications ==
* Diagnosis of retinopathy of prematurity
* 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.
* Analysis of vascular differences within and between populations to identify focal (e.g., stroke) and diffuse (e.g., schizophrenia) diseases.
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* Brain tumor resection guidance via intra-operative registration  
* Brain tumor resection guidance via intra-operative registration  


Imaging modalities involved include:
== Technologies ==
 
* [[TubeTK/Vascular_Pattern_Analysis]]
* [[TubeTK/Sliding_Organ_Registration]]
* [[TubeTK/Intra-operative_Ultrasound_Registration]]
 
== Imaging modalities ==
* MR and CT
* MR and CT
* Ultrasound
* Ultrasound
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* X-ray Microscopy
* X-ray Microscopy


Features of TubeTK include:
* Centerline vascular segmentation
* Vascular atlas formation
* Vascular network to image registration
* Organ segmentation
* Vascular-ness measures


= Links =
= Project Links =


* [[TubeTK/Development]]
* [[TubeTK/Documentation | Documentation]]
* [[TubeTK/Applications]]
* [[TubeTK/Development | Installation and Development]]
* [[TubeTK/Documentation]]
* [[TubeTK/Applications | Applications ]]
* [[TubeTK/Team Members]]
* [[NeuralNav/Data | Data]]
* [[TubeTK/Team Members | Team Members]]
* [[NeuralNav/Data | Data]]
* [[NeuralNav/Data | Data]]




== Driving problems ==
= Funding =
 
* [[TubeTK/Vascular_Pattern_Analysis]]
* [[TubeTK/Sliding_Organ_Registration]]
* [[TubeTK/Intra-operative_Ultrasound_Registration]]
 
== Funding ==


The development of TubeTK is being funded, in part, by the following grants
The development of TubeTK is being funded, in part, by the following grants
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#* http://public.kitware.com/Wiki/NeuralNav
#* http://public.kitware.com/Wiki/NeuralNav


== License ==
= License =


TubeTK is distributed under the [http://www.apache.org/licenses/LICENSE-2.0
TubeTK is distributed under the [http://www.apache.org/licenses/LICENSE-2.0
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You may obtain a copy of the License at
You may obtain a copy of the License at


= Project Administration =
* [[TubeTK/MeetingNotes | Events and Meetings]]
= Documentation =
* [[TubeTK/Design | Design discussions]]
* [[TubeTK/Build | Build instructions]]
* [[TubeTK/DevelopersGuide | Developers guide]]
* [[TubeTK/DevelopersFAQ | Developers FAQ]]
* [[TubeTK/GITCheatSheet | GIT Tips and Tricks]]
* Applications
*# GUI Applications
*# Command-line (CLI) Applications
*#* [[TubeTK/HessianVesselness2D | Hessian Vesselness 2D]]
*#* [[TubeTK/ExtractCurves2D | Extract Curves 2D]]
* Modules
*# Pre-processing
*#* [[TubeTK/Anisotropic Hybrid Diffusion with Continuous Switch]]
*# Object segmentation
*# Tube extraction
*# Data structures
*# Topology analysis
*# Editing
*# Export
*#  [[TubeTK/OpenIGTLink | OpenIGTLink]]
* [[TubeTK/Reference | References and related works]]
* Miscellaneous
**[http://en.wikipedia.org/wiki/Math_markup Math formula editing in Wiki]
**[http://en.wikipedia.org/wiki/Wikipedia:FAQ/Editing General Wiki Editing FAQ]


= Contacts =
= Contacts =

Revision as of 18:05, 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.

Features of TubeTK

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

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

Technologies

Imaging modalities

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


Project Links


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


Contacts

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