TubeTK/Events/2010.10.26

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Revision as of 05:01, 26 October 2010 by Danielle.pace (talk | contribs)
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Danielle

  • Computed weighting term between anisotropic and diffusive regularization = exponential decay as a function of distance to the closest polydata point
  • Registration works!


Sliding organ registration

  • Sliding tubes:

Original fixed image: SlidingBoxes originalFixedImage.png Original moving image: SlidingBoxes originalMovingImage.png

Organ borders: SlidingBoxes border.png Border normals: SlidingBoxes normals2.png

Motion field, no regularization: SlidingBoxes resultingMotionField noRegularization.png Transformed moving image: SlidingBoxes transformedMovingImage noRegularization.png

Motion field, diffusive regularization: SlidingBoxes resultingMotionField diffusive.png Transformed moving image: SlidingBoxes transformedMovingImage diffusive.png

Motion field, anisotropic diffusive regularization: SlidingBoxes resultingMotionField anisotropic.png Transformed moving image: SlidingBoxes transformedMovingImage anisotropic.png

  • Sliding boxes:

Original fixed image: SlidingBoxes2 originalFixedImage.png Original moving image: SlidingBoxes2 originalMovingImage.png

Organ borders: SlidingBoxes2 border.png Border normals: SlidingBoxes2 normals.png

Motion field, no regularization: SlidingBoxes2 resultingMotionField noRegularization.png Transformed moving image: SlidingBoxes2 transformedMovingImage noRegularization.png

Motion field, diffusive regularization: SlidingBoxes2 resultingMotionField diffusive.png Transformed moving image: SlidingBoxes2 transformedMovingImage diffusive.png

Motion field, anisotropic diffusive regularization: SlidingBoxes2 resultingMotionField anisotropic.png Transformed moving image: SlidingBoxes2 transformedMovingImage anisotropic.png


  • Writing paper, due Thursday


Questions

  • Better way to find distance from a point to a polydata?