TubeTK/Events/2010.10.26: Difference between revisions

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** #tube command
** #tube command
** Implementation of the other 2 methods : ICM SOAM
** Implementation of the other 2 methods : ICM SOAM
[[Category:TubeTK]]

Revision as of 15:50, 22 July 2013

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:
    • Section of top tube moves 4 pixels to the right, section of bottom tube moves 4 pixels to the left

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 blocks:
    • Top block moves 6 pixels to the right, bottom block moves 6 pixels to the left

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

    • Problem: corners within the fixed image do not have motion vectors, leading to problems in the transformed moving image
    • Why? --> Because surface normals are discontinuous at corners...

+ Writing paper, due Thursday


Questions

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


Romain

  • Implementation on the ComputeTortuosity module (only Distance Metric)
    • debugging ++++++
  • Future
    • More debugging!
    • #tube command
    • Implementation of the other 2 methods : ICM SOAM