Difference between revisions of "BSpline Registration in Slicer3"

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Image:PW2009-v3.png|[[2009_Summer_Project_Week|Project Week Main Page]]
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Image:PW2009-v3.png|[[2009_Summer_Project_Week#Projects|Projects List]]
Image:genuFAp.jpg|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
 
Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
 
 
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<h3>Objective</h3>
 
<h3>Objective</h3>
BSpline image registration modulde for Slicer3
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BSpline image registration module for Slicer3
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<h3>Progress</h3>
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* Standalone Bspline registration is working.
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* Registration in physical coordinates
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* Identified a set of test cases
 
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<h3>Further task</h3>
<h3>Approach, Plan</h3>
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* Smarter regularization - Less user interaction
Our approach for analyzing diffusion tensors is summarized in the IPMI 2007 reference below.  The main challenge to this approach is <foo>.
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* Compare to elastic registration.
 
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* Simple registration module - either bspline or elastic
Our plan for the project week is to first try out <bar>,...
 
 
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<h3>Progress</h3>
 
 
  
 
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==References==
 
==References==
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* [[Projects:DBP2:Harvard:Registration_Documentation |Harvard DBP Experience with registration]]
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* [http://slicer.spl.harvard.edu/slicerWiki/index.php/Stanford_Simbios_group Stanford Simbios Data and Results]
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*[http://www.cs.utah.edu/~sgerber/tmp/bspline.tar.gz Standalone bspline code and examples]

Latest revision as of 02:08, 26 June 2009

Home < BSpline Registration in Slicer3


Key Investigators

  • GE: Jim Miller
  • Utah: Ross Whitaker, Samuel Gerber

Objective

BSpline image registration module for Slicer3

Progress

  • Standalone Bspline registration is working.
  • Registration in physical coordinates
  • Identified a set of test cases

Further task

  • Smarter regularization - Less user interaction
  • Compare to elastic registration.
  • Simple registration module - either bspline or elastic

References