1. NA-MIC National Alliance for Medical Image Computing http://na-mic.org Geodesic Tractography Segmentation DTI Tractography Workshop, Oct. 1-2, 2007 - Santa Fe, NM John Melonakos Georgia Institute of Technology

2. Algorithm Update Here describe any new development made since the July 31 st tcon: –“Look Ma’ No Hands” matlab code –Successfully applied to the cingulum bundle, fornix, uncinate fasciculus –Still working on the arcuate fasciculus –Not ideal for internal capsule

3. Input parameters Data: –Resolution: Downsampled –Raw +/- Eddy Current: EdCor Pre-processing steps: –Masking: for speed and accuracy Algorithm parameters: –Mean Fiber Radius

4. User interaction

5. Specifications Computational Resources: (e.g: Processor, Memory, Platform) –Dell Inspiron Laptop –2GB Memory –Linux OS Average algorithm execution time per case: –8 minutes for initial case –6 minutes for subsequent cases

6. Results Measurements calculated on the data: –Tensor statistics along the tract Can be given as a function of arc length Visual tractography output: –Fiber bundle segmentation Advantages and difficulties of the method: –Adv: Yields both optimal connectivity information and explicit structural segmentations –Dif: Struggles with fanning fiber structures

7. Comments on Seed Regions CBFX

8. Comments on Seed Regions UFAF

9. Results

10. Color by Orientation Fractional Anistotropy

11. Results Left CB

12. Results Right CB

13. Results Left UF

14. Results Right FX

15. Results Left UF

16. Results Right UF

17. Future Work Adapt to Arcuate Fasciculus –and other fanning fibers structures Statistics GPU Implementation for Speed Apply to more fiber types, more cases – have more fun!

18. Questions?