Projects/Structural/2007 Project Week Nonrigid Groupwise Registration - Revision history

Serdar at 14:11, 29 June 2007

2007-06-29T14:11:31Z

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 *Extended ITK's pairwise registration framework to groupwise registration
 *To compare groupwise registration to pairwise approaches
-** Implemented a template based method where every subject is registered to the mean image using sum of squared differences.
+** Implement a template based method where every subject is registered to the mean image using sum of squared differences.
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 |[[Image:ProjectWeek-2007.png|thumb|left|320px|Return to [[2007_Programming/Project_Week_MIT|Project Week Main Page]] ]]
 <table width="420" border="1" align="center" >
          <caption>
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-           <td colspan="2"> Registration results on a synthetic dataset of 30 MR images. Images are created by applying random affine transforms to an input image. Mean and standard deviation images before and after registration are shown. <td>
+           <td colspan="2"> Registration results on a synthetic dataset of 30 MR images. <td>
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 Our project is already implemented in ITK, in this workshop we achieved to
 *Submit the project to ITK's Namic SANDBOX repositories [http://www.na-mic.org/svn/NAMICSandBox/trunk/MultiImageRegistration/ link to code]
 *Provide test cases using ITK's Brainweb data [http://public.kitware.com/pub/itk/Data/BrainWeb/BrainPart2.tgz  link to data]
 *Submit test results to the dashboard
 *Build a package for Insight Journal submission (in progress)
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 *Provide test cases using ITK's Brainweb data [http://public.kitware.com/pub/itk/Data/BrainWeb/BrainPart2.tgz  link to data]
 *Submit test results to the dashboard
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 Our project is already implemented in ITK, in this workshop we achieved to
 *Make modifications to the source code for memory efficiency
-*Submit the project to ITK's Namic SANDBOX repositories [http://www.na-mic.org/svn/NAMICSandBox/trunk/MultiImageRegistration/
+*Submit the project to ITK's Namic SANDBOX repositories [http://www.na-mic.org/svn/NAMICSandBox/trunk/MultiImageRegistration/ link to code]
 *Provide test cases using ITK's Brainweb data [http://public.kitware.com/pub/itk/Data/BrainWeb/BrainPart2.tgz  link to data]
 *Submit test results to the dashboard
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 * Implement a non-rigid groupwise registration method
 ** Joint alignment of images
-** Minimize sum of univariate entropies along pixel stacks
+** Minimize sum of univariate entropies
 ** Efficient implementation using multi-threaded classes.
 * B-splines as the non-rigid deformation model

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 <h1>Approach, Plan</h1>
-We implemented a non-rigid groupwise registration method using sum of pixelwise entropies
+* Implemented a non-rigid groupwise registration method
-as a joint alignment criterion.
+** Joint alignment of images
 We have chosen B-splines as our non-rigid deformation model and optimized ITK's B-Spline implementation by computing jacobian field locally.
 We extended ITK's pairwise registration framework to include groupwise registration methods.