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: Original moving image:
Organ borders: Border normals:
Motion field, no regularization: Transformed moving image:
Motion field, diffusive regularization: Transformed moving image:
Motion field, anisotropic diffusive regularization: Transformed moving image:
- Sliding blocks:
- Top block moves 6 pixels to the right, bottom block moves 6 pixels to the left
Original fixed image: Original moving image:
Organ borders: Border normals:
Motion field, no regularization: Transformed moving image:
Motion field, diffusive regularization: Transformed moving image:
Motion field, anisotropic diffusive regularization: Transformed moving image:
- 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