Difference between revisions of "2009 UNC HAMMER WML"

From NAMIC Wiki
Jump to: navigation, search
Line 6: Line 6:
 
* UNC: Dinggang Shen
 
* UNC: Dinggang Shen
 
* GE Research: Xiaodong Tao, Jim Miller
 
* GE Research: Xiaodong Tao, Jim Miller
 +
* UPenn: Christos Davatzikos (Consultant)
  
 
__NOTOC__
 
__NOTOC__

Revision as of 15:36, 28 December 2008

Home < 2009 UNC HAMMER WML
Deformable registration using HAMMER (Heirarchical Attribute Matching Mechanism for Elastic Registration)

Key Investigators

  • UNC: Dinggang Shen
  • GE Research: Xiaodong Tao, Jim Miller
  • UPenn: Christos Davatzikos (Consultant)


Objective

Design ITK classes for Hierarchical Attribute Matching Mechanism for Elastic Registration (HAMMER) and White Matter Lesion segmentation so that these algorithms can be easily implemented using the Insight Toolkit and integrated into Slicer. The goals of the week is to analyze the algorithms on the object level, map components to existing ITK classes, identify gaps, and start implementation. Will also identify testing dataset and generate ground truth for future test.

Approach, Plan

Software process embraced by NA-MIC community.

Progress

Both HAMMER and WML segmentation algorithms have been distributed in binary forms for a number of years and have been used by some research groups. We will start with the algorithms in their current forms to generate ground truth on publically available datasets.


References