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NA-MIC - Contrasting Tractography Method Conference Utah/UNC results Sylvain Gouttard Guido Gerig Casey Goodlett Santa Fe, October 1 st & 2 nd 2007.

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Presentation on theme: "NA-MIC - Contrasting Tractography Method Conference Utah/UNC results Sylvain Gouttard Guido Gerig Casey Goodlett Santa Fe, October 1 st & 2 nd 2007."— Presentation transcript:

1 NA-MIC - Contrasting Tractography Method Conference Utah/UNC results Sylvain Gouttard Guido Gerig Casey Goodlett Santa Fe, October 1 st & 2 nd 2007

2 Overview Processing description:  DWI to tensors  ROIs  Tracking  Bundling / cleaning Results:  Fiber tracked  FA/MD analysis Conclusion

3 Original Data High resolution DWI with 59 images (8 B0's and 51 directions) size 256*256*81 resolution 0.9,0.9,1.7 Tensor field Tensor estimation using dtiestim: - Linear least square - B0 threshold = 500

4 ROIs 5 ROIs:  Arcuate  Cingulum  Fornix  Internal Capsule  Uncinate Original ROIs not appropriate for our tractography tool (need volumetric ROIs)‏ Had to specify target and source labels Split right and left

5 ROIs - Arcuate No editing

6 ROIs - Cingulum Original ROIsEdited ROIs

7 ROIs – Fornix Original ROIs Edited ROIs

8 ROIs – Internal Capsule Original ROIs Edited ROIs

9 ROIs - Uncinate Original ROIs Edited ROIs

10 Fiber tracking Fiber tracking done with the FiberTracking tool, based on Susumu Mori's tool. Input: tensor field & ROI Output: Streamlines Parameters:  min FA threshold 0.15  angle of max dev 0.35

11 Post processing – FiberViewer Clustering and cleaning bundle cleaning via clustering: Metrics for clustering:  fiber length  center of mass  Hausdorff Fiber cutting

12 Post processing - FiberViewer Diffusion statistics Diffusion statistics for each bundle: Definition of coordinate origin FA MD λ 1,2,3 diffusion val. geodesic distance 0+L-L

13 Specifications Computational resources:  2 Intel Xeon processors 2GHz  2G of RAM  linux Average execution time per case:  DWI -> tensors: <1min  Tractography: 2 < t < 10 min  Cleaning: 2 < t < 5 min (manual interaction)‏

14 Results – High resolution cases 10 cases ( dim:256*256*81 res:0.9,0.9,1.7 )‏ 5 ROIs ( Arcuate, Cingulate, Fornix, Int. Capsule, Uncinate )‏ We use the number of streamlines for comparison but know that it is limited

15 Fiber tracking example D00925 ; Internal capsule 19 fibers D00935 ; Internal capsule 740 fibers D00935 cleaned ; Internal capsule ; 545 fibers

16 Fiber tracking example D00920 ; Arcuate ; 29 fibers D00928 ; Arcuate ; 99 fibers

17 Fiber tracking example D00925 Cingulum 2 fibers D00917 ; Cingulum ; 175 fibers D00917 cleaned ; Cingulum ; 170 fibers

18 Fiber tracking example D00925 ; Fornix ; 3 fibers D00928 ; Fornix ; 77 fibers

19 Fiber tracking example D00936 Uncinate 1 fibers D00935 ; Uncinate ; 140 fibers D00935 cleaned ; Uncinate ; 100 fibers

20 Resulting data structure Origin plane manually placed Arc-length parameterization Diffusion values along fibers (FA, MD, λ's,GA) in excel format

21 FA-MD plots - Cingulum FA MD 0.0 0.86 15 0

22 FA-MD plots - Fornix FA MD 0.0 0.75 40 0 Analysis: - 1 branch at a time? - 2 at the same time?

23 FA-MD plots – Internal capsule FA MD 0.0 0.75 15 0

24 FA-MD plots - Uncinate FA MD 0.0 0.80 15 0

25 Evaluation of preprocessing 2 cases with:  Orignal data (dim:256*256*81 res:0.9,0.9,1.7)‏  Eddy current correction (dim:256*256*81 res:0.9,0.9,1.7)‏  Eddy current correction and sub sampled (dim:144*144*81 res:1.6,1.6,1.7)‏ ‏ # of fibers

26 Evaluation of preprocessing Tensors filtered using MedINRIA tensor smoothing => Inconsistent results Internal Capsule: - Not filtered => 59 fib - Filtered => 179 fib Cingulum: - Not filtered => ~140 fib - Filtered => 0 fib Examples:

27 Summary / Problems ROIs: need redrawing to do tractography with our tools Noise level seems high w.r.t. to streamline tracking High variability across cases =>  subject specific?  scanning artefacts?  motion? distortion? ...

28 Summary / Problems (2)‏  Coordinate system inconsistency: ROIs are individually placed FiberViewer: origin plane manually set for statistics  Metric for comparison: number of fibers: does not describe quality

29

30 High resolution cases Percentage of fibers (with Left and Right)‏

31 High resolution cases Fiber tracked numbers

32 High resolution cases Fiber cleaned numbers

33 Results High resolution cases after cleaning

34 Results – High resolution cases 10 cases ( dim:256*256*81 res:0.9,0.9,1.7 )‏ 5 ROIs ( Arcuate, Cingulate, Fornix, Int. Capsule, Uncinate )‏

35 Results High resolution cases after cleaning


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