Difference between revisions of "2010 Winter Project Week HAMMER"

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<h3>Progress</h3>
 
<h3>Progress</h3>
Since winter project week in Utah, we have developed/implemented HAMMER registration algorithm using ITK classes. New ITK classes have been created for tasks of HAMMER. Each component has been tested. The source code is version controlled at NITRC site. The current development corresponds to the original Hammer algorithm that is based on tissue classification of T1 weighted images (as outlined on the first HAMMER paper).
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* During this past week (2010), we finalized HAMMER "alpha" release on NITRC and gave a tutorial. In the next couple of weeks, we will continue to polish the tutorial and code, provide support to and collect feedback from early HAMMER adapters.
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* Since winter project week 2009 in Utah, we have developed/implemented HAMMER registration algorithm using ITK classes. New ITK classes have been created for tasks of HAMMER. Each component has been tested. The source code is version controlled at NITRC site. The current development corresponds to the original Hammer algorithm that is based on tissue classification of T1 weighted images (as outlined on the first HAMMER paper).
  
 
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Revision as of 17:23, 8 January 2010

Home < 2010 Winter Project Week HAMMER

Key Investigators

  • UNC: Guorong Wu, Dinggang Shen
  • GE : Xiaodong Tao, Jim Miller

Objective

We will continue developping and testing HAMMER registration algorithm implemented using ITK. The goal is to have an initial version ready by the end of the week that can be distributed within NA-MIC community for more extensive testing.

Approach, Plan

We will develop a Slicer module for the current implementation of the Hammer registration algorithm and test on images from multiple sources to make the algorithm robust and easy to use. Base line results and test will be generated.

Progress

  • During this past week (2010), we finalized HAMMER "alpha" release on NITRC and gave a tutorial. In the next couple of weeks, we will continue to polish the tutorial and code, provide support to and collect feedback from early HAMMER adapters.
  • Since winter project week 2009 in Utah, we have developed/implemented HAMMER registration algorithm using ITK classes. New ITK classes have been created for tasks of HAMMER. Each component has been tested. The source code is version controlled at NITRC site. The current development corresponds to the original Hammer algorithm that is based on tissue classification of T1 weighted images (as outlined on the first HAMMER paper).


Users List

We have released our registration method to the Na-mic society. Below is the list of users:

1. Minjie Wu, Geriatric Psychiatry Neuroimaging Lab, University of Pittsburgh

References