Difference between revisions of "2010 Summer Project Week Best Regularization Term for Demons Registration Algorithm"
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− | + | Our plan is to find a way to convert the current research code into an itk module that can | |
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+ | The research code is a mixture of MATLAB and C code. Thanks to the discussion with Luis, we have | ||
+ | successfully implemented itkCurvatureDemonsFilter.* and itkCurvatureDemonsFunction.* for a variant of | ||
+ | the Demons algorithm with the curvature regularization term. | ||
+ | |||
+ | Our next steps after this project week are: (1). implement locally adaptive curvature based Demons algorithm. | ||
+ | (2). implement Demons algorithm that uses L1-regularization term, this step will take more time and effort. | ||
+ | itkPDEDeformableRegistrationFilter.* and itkPDEDeformableRegistrationFunction.* need to be rewritten. (3). All | ||
+ | the filters will be included in plastimatch as open source. | ||
+ | |||
</div> | </div> |
Revision as of 03:16, 25 June 2010
Home < 2010 Summer Project Week Best Regularization Term for Demons Registration AlgorithmKey Investigators
- MGH: Rui Li, Greg Sharp
Objective
- Show comparison of the demons algorithm performance with different regularization terms.
Approach, Plan
Our plan is to find a way to convert the current research code into an itk module that can be loaded into slicer.
Progress
The research code is a mixture of MATLAB and C code. Thanks to the discussion with Luis, we have successfully implemented itkCurvatureDemonsFilter.* and itkCurvatureDemonsFunction.* for a variant of the Demons algorithm with the curvature regularization term.
Our next steps after this project week are: (1). implement locally adaptive curvature based Demons algorithm. (2). implement Demons algorithm that uses L1-regularization term, this step will take more time and effort. itkPDEDeformableRegistrationFilter.* and itkPDEDeformableRegistrationFunction.* need to be rewritten. (3). All the filters will be included in plastimatch as open source.