Direct visualization of fiber information by coherence View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-03

AUTHORS

Mario Hlawitschka, Christoph Garth, Xavier Tricoche, Gordon Kindlmann, Gerik Scheuermann, Kenneth I. Joy, Bernd Hamann

ABSTRACT

PURPOSE: The structure of fiber tracts in DT-MRI data presents a challenging problem for visualization and analysis. We derive visualization of such traces from a local coherence measure and achieve much improved visual segmentation. METHODS: We introduce a coherence measure defined for fiber tracts. This quantitative assessment is based on infinitesimal deviations of neighboring tracts and allows identification and segmentation of coherent fiber regions. We use a hardware-accelerated implementation to achieve interactive visualization on slices and provide several approaches to visualize coherence information. Furthermore, we enhance existing techniques by combining them with coherence. RESULTS: We demonstrate our method on both a canine heart, where the myocardial structure is visualized, and a human brain, where we achieve detailed visualization of major and minor fiber bundles in a quality similar to and exceeding fiber clustering approaches. CONCLUSIONS: Our approach allows detailed and fast visualization of important anatomical structures in DT-MRI data sets. More... »

PAGES

125-131

References to SciGraph publications

  • 2009. Visualizing Lagrangian Coherent Structures and Comparison to Vector Field Topology in TOPOLOGY-BASED METHODS IN VISUALIZATION II
  • 2006. An Introduction to Visualization of Diffusion Tensor Imaging and Its Applications in VISUALIZATION AND PROCESSING OF TENSOR FIELDS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11548-009-0302-5

    DOI

    http://dx.doi.org/10.1007/s11548-009-0302-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1014442906

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/20033521


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