Difference between revisions of "2011 Winter Project Week:TubeTK VascularImageSegmentationAndAnalysis"

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(Created page with '__NOTOC__ <gallery> Image:PW-SLC2011.png|Projects List </gallery> ==Key Investigators== * Kitware: Stephen Aylward, Danielle Pace * SPL: St…')
 
 
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__NOTOC__
 
__NOTOC__
 
<gallery>
 
<gallery>
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Image:TubeTK-VessTortuosity.jpg|Tortuosity for benign/malignant (Image from Dr. Bullitt, UNC)
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Image:TubeTK-USVess.png|Ultrasound to vessel registration
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Image:TubeTK-VessGraphs.jpg|Spatial graphs of vasculature capture inter-population variations
 
Image:PW-SLC2011.png|[[2011_Winter_Project_Week#Projects|Projects List]]
 
Image:PW-SLC2011.png|[[2011_Winter_Project_Week#Projects|Projects List]]
 
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* Kitware: Stephen Aylward, Danielle Pace
 
* Kitware: Stephen Aylward, Danielle Pace
 
* SPL: Steve Pieper
 
* SPL: Steve Pieper
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* Luca Antiga, Daniel Haehn
  
 
<div style="margin: 20px;">
 
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<h3>Objective</h3>
 
<h3>Objective</h3>
TODO
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[http://public.kitware.com/Wiki/TubeTK TubeTK] is a new open-source toolkit that hosts algorithms for applications involving images of tubes.
 +
 
 +
Two driving applications:
 +
* Surgical guidance: registering pre-operative vascular models with intra-operative images (e.g., ultrasound)
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* Characterizing vascular patters: using graph theory to distinguish clinical populations based on vascular patterns (e.g., benign -vs- malignant tumors via tortuosity)
 +
 
 +
History
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* June 2001, UNC released the patent on vessel extraction method from [Aylward, Bullitt 1996...]
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* TubeTK released under Apache 2.0 license: includes rights to patents
  
 
</div>
 
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
TODO
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* Python module in Slicer 4 for centerline and radius estimation of vasculature in brain MRA
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** Workflow: brain envelop segmentation, seeding, extraction
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* Integration with VMTK
  
 
</div>
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
 +
* Skype meeting with VMTK team to learn design pattern to follow
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* Extended TubeTK to include LDA methods for multi-echo MR segmentation
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** SWAN (susceptibility weighted angiography), T1, T2 data from U of Mississippi
  
 
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==Delivery Mechanism==
 
==Delivery Mechanism==
[http://public.kitware.com/Wiki/TubeTK TubeTK] is a new open-source toolkit providing software for registration, segmentation, analysis and quantification of images depicting tubular stuctures, such as vessels, bronchi and neurons.
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 +
This work will be delivered to the NA-MIC Kit as follows:
 +
 
 +
* All software written during the project week will be contributed to TubeTK, and algorithms will be incorporated into 3D Slicer as CLI applications.
  
 
</div>
 
</div>

Latest revision as of 17:32, 14 January 2011

Home < 2011 Winter Project Week:TubeTK VascularImageSegmentationAndAnalysis

Key Investigators

  • Kitware: Stephen Aylward, Danielle Pace
  • SPL: Steve Pieper
  • Luca Antiga, Daniel Haehn

Objective

TubeTK is a new open-source toolkit that hosts algorithms for applications involving images of tubes.

Two driving applications:

  • Surgical guidance: registering pre-operative vascular models with intra-operative images (e.g., ultrasound)
  • Characterizing vascular patters: using graph theory to distinguish clinical populations based on vascular patterns (e.g., benign -vs- malignant tumors via tortuosity)

History

  • June 2001, UNC released the patent on vessel extraction method from [Aylward, Bullitt 1996...]
  • TubeTK released under Apache 2.0 license: includes rights to patents

Approach, Plan

  • Python module in Slicer 4 for centerline and radius estimation of vasculature in brain MRA
    • Workflow: brain envelop segmentation, seeding, extraction
  • Integration with VMTK

Progress

  • Skype meeting with VMTK team to learn design pattern to follow
  • Extended TubeTK to include LDA methods for multi-echo MR segmentation
    • SWAN (susceptibility weighted angiography), T1, T2 data from U of Mississippi

Delivery Mechanism

This work will be delivered to the NA-MIC Kit as follows:

  • All software written during the project week will be contributed to TubeTK, and algorithms will be incorporated into 3D Slicer as CLI applications.