NA-MIC National Alliance for Medical Image Computing Geodesic Tractography Segmentation DTI Tractography Workshop, Oct. 1-2, 2007 - Santa.

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Presentation transcript:

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

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

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

User interaction

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

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

Comments on Seed Regions CBFX

Comments on Seed Regions UFAF

Results

Color by Orientation Fractional Anistotropy

Results Left CB

Results Right CB

Results Left UF

Results Right FX

Results Left UF

Results Right UF

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!

Questions?