TubeTK/Events/2010.09.28: Difference between revisions
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* Preliminary results from tumor microenvironment segmentation | * Preliminary results from tumor microenvironment segmentation | ||
* Learning more Python | * Learning more Python | ||
* ImageJ processing | |||
* Future | * Future | ||
** Learning python execution model of Slicer | ** Learning python execution model of Slicer |
Revision as of 17:19, 28 September 2010
Danielle
- Derived mathematical foundations for sliding organ registration work
- Learned ITK's finite differences classes, + Andinet's anisotropic diffusion implementation
- Read "An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences", Nagel et al. 1986
- Worked out framework for registering Ryan's vessel data - extract .tre from .txt gold standard motion field, and register to image
- Added small test in TubeTK to convert a .tre to an image, given an example image
- Initial manual registration for Ryan's 'healthy' dataset
- Fixing up style/comment issues in TubeTK as encountered
- TODO: run Ryan's vessels through Hua's registration test
Romain
- Read Measuring Tortuosity of the Intracerebral Vasculature from MRA Images
- Filtering all Ryan's data using different iterations
- Preliminary results from tumor microenvironment segmentation
- Learning more Python
- ImageJ processing
- Future
- Learning python execution model of Slicer
- Reviewing papers from Dr. Bullitt on tortuosity
Stephen
- USC
- JointHistogram computation time reduced by 75%
- ComputeContrastImage: still not converging :(
- Pursuing additional funding
- Presentation tomorrow: Pseudo-EM, Contrast Image
- BWH
- SubK still not cut. Over 1 month at BWH. :(
- No word from BrainLAB. Time to pursue alternative
- TubeTK
- Fixed failing tests. 2 remain
- How integrate with slicer: vtkGeometry?
- QtImageViewer (Ben checking-in)
- RidgeExtractor: File IO issues