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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
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A Quantitative DTI Fiber Tract Analysis Suite-898

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

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

Published in: Technology
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  • Transcript

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

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