Your SlideShare is downloading. ×
0
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
A Quantitative DTI Fiber Tract Analysis Suite-898
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

A Quantitative DTI Fiber Tract Analysis Suite-898

1,432

Published on

http://hdl.handle.net/1926/39

http://hdl.handle.net/1926/39

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
1,432
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
368
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide
  • Transcript

    • 1. A Quantitative DTI Fiber Tract Analysis Suite Presenter: Casey Goodlett Isabelle Corouge Matthieu Jomier Guido Gerig
    • 2. Outline <ul><li>Motivation (introduction to DTI) </li></ul><ul><li>Open source technology </li></ul><ul><li>Tractography </li></ul><ul><li>Clustering and manual editing </li></ul><ul><li>Analysis of fiber tracts </li></ul><ul><li>Contributions to open source </li></ul>
    • 3. Acknowledgements <ul><li>NeuroLib developers </li></ul><ul><ul><li>Pierre Fillard </li></ul></ul><ul><ul><li>Sylvain Gouttard </li></ul></ul><ul><ul><li>Matthieu Jomier </li></ul></ul><ul><ul><li>Isabelle Corouge </li></ul></ul><ul><ul><li>Clément Vachet </li></ul></ul><ul><ul><li>Rémi Jean </li></ul></ul><ul><ul><li>Casey Goodlett </li></ul></ul><ul><li>Supervisor </li></ul><ul><ul><li>Guido Gerig </li></ul></ul>
    • 4. Open Software Libraries <ul><li>ITK </li></ul><ul><li>NA-MIC/ITK Sandbox </li></ul><ul><li>VTK </li></ul><ul><li>SOViewer (J. Jomier) </li></ul><ul><li>QT ® </li></ul><ul><li>SNAP (Yushkevich) </li></ul>Qt and the Qt logo are trademarks of Trolltech in Norway, the United States and other countries.
    • 5. DTI Fundamentals <ul><li>DTI is a measure of the diffusion properties of water in the brain </li></ul><ul><li>Diffusion is estimated as a 3x3 symmetric positive-definite matrix which is the covariance of 3D gaussian brownian motion </li></ul>Isotropic Anisotropic Images from S. Mori
    • 6. Processing Pipeline MRI Acquisition Tensor Estimation (FiberTracking) ROI Definition (InsightSNAP) Tractography (FiberTracking) Clustering (FiberViewer) Manual Editing (FiberViewer) Tract Analysis (FiberViewer) Visualization (FiberViewer)
    • 7. Tensor Estimation and Tractography <ul><li>Tensor Estimation is explicit (7 images) </li></ul><ul><li>External Tool used to estimate more images for now (Xiadong Tao) </li></ul><ul><li>Pathways generated from forward integration through tensor field </li></ul><ul><li>Backward tracking used to improve the stability of tracking </li></ul><ul><li>ROI Specification via InsightSNAP </li></ul>
    • 8. &nbsp;
    • 9. &nbsp;
    • 10. Clustering Fiber Tracts <ul><li>Hierarchical Agglomerative clustering </li></ul><ul><ul><li>Distance Metrics </li></ul></ul><ul><ul><ul><li>Hausdorff </li></ul></ul></ul><ul><ul><ul><li>Mean </li></ul></ul></ul><ul><ul><ul><li>Length </li></ul></ul></ul><ul><ul><ul><li>Center of Gravity </li></ul></ul></ul><ul><ul><li>Threshold determines cluster membership </li></ul></ul><ul><li>Spectral Clustering using Normalized Cut </li></ul><ul><ul><li>Graph-theoretic approach </li></ul></ul>
    • 11. Clustering Example
    • 12. Fornix Clustering
    • 13. Manual Editing Tools <ul><li>Cutting fibers </li></ul><ul><li>Cluster selection </li></ul><ul><li>Fiber re-parameterization </li></ul>
    • 14. Visualization <ul><li>Image visualization </li></ul><ul><ul><li>DWI images </li></ul></ul><ul><ul><li>Derived properties (FA, MD, eigenvalues) </li></ul></ul><ul><ul><li>Tensor ellipsoids </li></ul></ul><ul><li>Fiber Visualization </li></ul><ul><ul><li>Geometry </li></ul></ul><ul><ul><li>Derived properties </li></ul></ul><ul><ul><li>Full tensor information </li></ul></ul><ul><ul><li>Mean fiber </li></ul></ul>
    • 15. Visualization <ul><li>SOViewer </li></ul><ul><li>Levels of visualization </li></ul><ul><ul><li>Geometry </li></ul></ul><ul><ul><li>Derived properties </li></ul></ul><ul><ul><li>Tensors </li></ul></ul>
    • 16. Analysis of Fiber Tracts <ul><li>Fibers are used as a coordinate system for computing the statistics of DTI data </li></ul><ul><li>Process </li></ul><ul><ul><li>Establish an origin </li></ul></ul><ul><ul><li>Reparameterize fibers </li></ul></ul><ul><ul><li>Interpolation via Riemannian metric (Fletcher et al) </li></ul></ul><ul><ul><li>Average tensor data at corresponding arc length </li></ul></ul><ul><li>Properties to analyze </li></ul><ul><ul><li>Full tensor </li></ul></ul><ul><ul><li>Derived properties </li></ul></ul>
    • 17. &nbsp;
    • 18. &nbsp;
    • 19. Applications <ul><li>Currently being assessed in neurodevelopmental study of children (normal, at-risk for autism, at-risk for schizophrenia) </li></ul><ul><li>Evaluations being performed by other labs into possible studies using tract-oriented statistics </li></ul>
    • 20. Benefits from Open Source <ul><li>Large body of readily available image and geometry processing algorithms </li></ul><ul><li>Common data format for processing intensity and diffusion images as well as tube spatial objects </li></ul><ul><li>High quality flexible visualization methods </li></ul>
    • 21. Contributions to Open Source <ul><li>Executables freely available </li></ul><ul><li>FiberTracking is available in NeuroLib CVS </li></ul><ul><li>FiberViewer source available shortly </li></ul><ul><li>Clustering algorithm in sandbox </li></ul><ul><li>Inter-operability with other tools </li></ul><ul><li>Fiber analysis modules will be contributed through NAMIC </li></ul>
    • 22. Questions/Comments <ul><li>For more information and the software http://www.ia.unc.edu/dev </li></ul>

    ×