Difference between revisions of "Documentation/4.2/Extensions/TubeTK"
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*[[Documentation/{{documentation/version}}/Modules/tubeSampleCLIApplication|TubeTK Sample CLI Application]] | *[[Documentation/{{documentation/version}}/Modules/tubeSampleCLIApplication|TubeTK Sample CLI Application]] | ||
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| + | {{documentation/{{documentation/version}}/extension-section|Acknowledgements}} | ||
| + | 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 | ||
| + | **1U54EB005149-01 | ||
| + | **[http://www.na-mic.org NA-MIC] | ||
| + | * 2. DARPA sponsored "Trust in Integrated Circuits" (EXPOSE, PI: Bajura) program | ||
| + | ** USC/ISI Team | ||
| + | ** [http://www.darpa.mil DARPA] | ||
| + | * 3. NIH/NCI sponsored "Image Registration for Ultrasound-Based Neurosurgical Navigation" (NeuralNav, PI: Aylward, Wells) | ||
| + | ** 1R01CA138419-01 | ||
| + | ** [http://public.kitware.com/Wiki/NeuralNav NeuralNav] | ||
Revision as of 20:31, 5 November 2012
Home < Documentation < 4.2 < Extensions < TubeTK
Introduction and Acknowledgements
Author: Stephen Aylward
Contributors: Jean-Christophe Fillion-Robin (Kitware), Christopher Mullins (Kitware), Michael Jeulin-L (Kitware), Matthew McCormick (Kitware)
Contact: Christopher Mullins, <email>christopher.mullins@kitware.com</email>
Website: http://www.tubetk.org/
License: TubeTK License
Extension Description
TubeTK is an open-source toolkit for the segmentation, registration, and analysis of tubes and surfaces in images.
Tubes and surfaces, as generalized 1D and 2D manifolds in N-dimensional images, are essential components in a variety of image analysis tasks. Instances of tubular structures in images include blood vessels in magnetic resonance angiograms and b-mode ultrasound images, wires in microscopy images of integrated circuits, roads in areal photographs, and nerves in confocal microscopy.
Modules
- TubeTK Anisotropic Diffusive Deformable Registration
- TubeTK Coherence-Enhancing Anisotropic Diffusion
- TubeTK Compute Binary Image Similary
- TubeTK Compute Image Similarity
- TubeTK Connected Components
- TubeTK Compute Contrast Image Using Prior
- TubeTK Crop
- TubeTK Deblend Images Using Prior
- TubeTK Edge Enhancing Anisotropic Diffusion
- TubeTK Extract Curves 2D
- TubeTK Ridge Extractor
- TubeTK Extract Vessel Seeds
- TubeTK Hessian Tubeness 2D
- TubeTK Hybrid-Enhancing Anisotropic Diffusion
- TubeTK LDA Generator
- TubeTK Mask To Stats
- TubeTK Match Image With Prior
- TubeTK Merge
- TubeTK NJet Linear Discriminant Analysis
- TubeTK Otsu Threshold Application
- TubeTK PDF Region Growing
- TubeTK Resample Images
- TubeTK Sample CLI Application
- TubeTK Skeletonize
Acknowledgements
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
- 1U54EB005149-01
- NA-MIC
- 2. DARPA sponsored "Trust in Integrated Circuits" (EXPOSE, PI: Bajura) program
- USC/ISI Team
- DARPA
- 3. NIH/NCI sponsored "Image Registration for Ultrasound-Based Neurosurgical Navigation" (NeuralNav, PI: Aylward, Wells)
- 1R01CA138419-01
- NeuralNav
