Difference between revisions of "2011 Winter Project Week:UncertaintyVisualization"

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==Instructions for Use of this Template==
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==Registration Uncertainty==
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#Please create a new wiki page with an appropriate title for your project using the convention Project/<Project Name>
 
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#Link the created page into the list of projects for the project event
 
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#Send an email to tkapur at bwh.harvard.edu if you are stuck
 
  
 
==Key Investigators==
 
==Key Investigators==
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* UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig
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* SPL: Petter Risholm, William Wells
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* Utah: Tom Fletcher, Ross Whitaker
 
  
 
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<h3>Objective</h3>
 
<h3>Objective</h3>
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We are developing methods for analyzing diffusion tensor data along fiber tracts. The goal is to be able to make statistical group comparisons with fiber tracts as a common reference frame for comparison.
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We are developing methods for visualizing registration uncertainty.
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<h3>Approach, Plan</h3>
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Our approach for summarizing and visualizing registration uncertainty is described in [Risholm 2010].
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Our plan for the project week is to incorporate the generation of marginal probability maps as a command line module in Slicer3.
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</div>
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<div style="width: 40%; float: left;">
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<h3>Progress</h3>
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We have a registration framework which produces uncertainty information.
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A preliminary VTK class for generating marginal probability maps of deformed objects.
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</div>
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</div>
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<div style="width: 97%; float: left;">
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==Delivery Mechanism==
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This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)
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#ITK Module
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#Slicer Module
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##Built-in
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##Extension -- commandline Yes
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##Extension -- loadable
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#Other (Please specify)
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==References==
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*Risholm P, Samset E, Pieper S, Wells W [http://www.spl.harvard.edu/publications/item/view/1913 Summarizing and Visualizing Uncertainty in Non-Rigid Registration.] MICCAI 2010
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Revision as of 02:30, 10 December 2010

Home < 2011 Winter Project Week:UncertaintyVisualization

  • Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.

  • Regression of FA data; solid line represents the mean and dotted lines the standard deviation.

Registration Uncertainty

Key Investigators

  • SPL: Petter Risholm, William Wells

Objective

We are developing methods for visualizing registration uncertainty.


Approach, Plan

Our approach for summarizing and visualizing registration uncertainty is described in [Risholm 2010].

Our plan for the project week is to incorporate the generation of marginal probability maps as a command line module in Slicer3.

Progress

We have a registration framework which produces uncertainty information. A preliminary VTK class for generating marginal probability maps of deformed objects.

Delivery Mechanism

This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)

  1. ITK Module
  2. Slicer Module
    1. Built-in
    2. Extension -- commandline Yes
    3. Extension -- loadable
  3. Other (Please specify)

References

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