TubeTK/Events/2010.10.14: Difference between revisions
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* Future | * Future | ||
** DUH, not extracting tangential and normal components yet =) | |||
** Boundary conditions | ** Boundary conditions | ||
** Regularization smoothing in normal direction | ** Regularization smoothing in normal direction | ||
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** Compute weighting term = distance to organ border | ** Compute weighting term = distance to organ border | ||
** Extract organ border normals from input data | ** Extract organ border normals from input data | ||
[[Category:TubeTK Events and Meetings|2010.10.14]] | |||
Latest revision as of 18:48, 26 July 2013
Danielle
- Implementation of diffusion-based regularization
- itkImageToImageDiffusiveDeformableRegistrationFilter
- itkImageToImageDiffusiveDeformableRegistrationFunction
- Has two functions - a regularization function and an intensity difference function, and sums their results
- Extends itkPDEDeformableRegistrationFilter/Function, with similar modifications as Andinet's itkAnisotropicDiffusionTensorImageFilter/itkAnisotropicDiffusionTensorFunction (which extend itkFiniteDifferenceImageFilter/itkFiniteDifferenceFunction)
- Implementation of regularization smoothing in the tangential direction:
- Artificial deformation field:
- Vectors are [-0.5, 0.5, 0] or [0.5, 0.5, 0], plus white noise of variance 0.1
- Known normal, for now use w = 1 (smoothing entirely in tangential plane)
- Artificial deformation field:
- Registration is regularization only (20 iterations, time step 0.05)
- Original deformation field:
- Deformation field after regularization:
- Note border is maintained
- Deformation field after regularization:
- Future
- DUH, not extracting tangential and normal components yet =)
- Boundary conditions
- Regularization smoothing in normal direction
- Add intensity distance function (simple using existing finite difference functions)
- Compute weighting term = distance to organ border
- Extract organ border normals from input data
