Difference between revisions of "Projects:StatisticalSegmentationSlicer2"
From NAMIC Wiki
| Line 1: | Line 1: | ||
| − | Back to | + | Back to [[Algorithm:GATech|Georgia Tech Algorithms]] |
= Statistical Segmentation Slicer 2 = | = Statistical Segmentation Slicer 2 = | ||
| Line 20: | Line 20: | ||
= Key Investigators = | = Key Investigators = | ||
| − | * Georgia Tech: Delphine Nain, Eric Pichon, Oleg Michailovich, Yogesh Rathi, James Malcolm, Allen Tannenbaum | + | * Georgia Tech Algorithms: Delphine Nain, Eric Pichon, Oleg Michailovich, Yogesh Rathi, James Malcolm, Allen Tannenbaum |
= Publications = | = Publications = | ||
Revision as of 03:24, 21 December 2007
Home < Projects:StatisticalSegmentationSlicer2Back to Georgia Tech Algorithms
Statistical Segmentation Slicer 2
Our objective is to add various statistical measures into our PDE flows for medical imaging. This will allow the incorporation of global image information into the locally defined PDE frameowrk.
Description
We developped flows which can separate the distributions inside and outside the evolving contour, and we have also been including shape information in the flows.
Completed
- A statistically based flow for image segmentation, using Fast Marching
- The code has been integrated into the Slicer
- A user-oriented tutorial for the Fast Marching algorithm is available at:Slicer Module Tutorial
Key Investigators
- Georgia Tech Algorithms: Delphine Nain, Eric Pichon, Oleg Michailovich, Yogesh Rathi, James Malcolm, Allen Tannenbaum
Publications
In print
Note: Best student presentation in image segmentation award[1]
