• Login
    View Item 
    •   Eurographics DL Home
    • Graphics Dissertation Online
    • 2009
    • View Item
    •   Eurographics DL Home
    • Graphics Dissertation Online
    • 2009
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Feature Extraction for Visual Analysis of DW-MRI Data

    Thumbnail
    View/Open
    schultz.pdf (5.980Mb)
    Date
    2009-06-18
    Author
    Schultz, Thomas ORCID
    Item/paper (currently) not available via TIB Hannover.
    Metadata
    Show full item record
    Abstract
    Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) is a recentmodality to investigate the major neuronal pathways of the humanbrain. However, the rich DW-MRI datasets cannot be interpreted withoutproper preprocessing. In order to achieve understandablevisualizations, this dissertation reduces the complex data to relevantfeatures.<br>The first part is inspired by topological features in flow data. Novelfeatures reconstruct fuzzy fiber bundle geometry from probabilistictractography results. The topological properties of existing featuresthat extract the skeleton of white matter tracts are clarified, andthe core of regions with planar diffusion is visualized.<br>The second part builds on methods from computer vision. Relevantboundaries in the data are identified via regularized eigenvaluederivatives, and boundary information is used to segment anisotropyisosurfaces into meaningful regions. A higher-order structure tensoris shown to be an accurate descriptor of local structure in diffusiondata.<br>The third part is concerned with fiber tracking. Streamlinevisualizations are improved by adding features from structural MRI ina way that emphasizes the relation between the two types of data, andthe accuracy of streamlines in high angular resolution data isincreased by modeling the estimation of crossing fiber bundles as alow-rank tensor approximation problem.
    URI
    http://diglib.eg.org/handle/10.2312/8230
    Collections
    • 2009

    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA
     

     

    Browse

    All of Eurographics DLCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    BibTeX | TOC

    Create BibTeX Create Table of Contents

    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA