Uncertainty Visualization of Brain Fibers

  title={Uncertainty Visualization of Brain Fibers},
  author={P. Hermosilla and R. Brecheisen and P. V{\'a}zquez and A. Vilanova},
  • P. Hermosilla, R. Brecheisen, +1 author A. Vilanova
  • Published in CEIG 2012
  • Computer Science
  • Diffuse Tensor Imaging (DTI) is an acquisition method based on Magnetic Resonance (MR) that provides information on the white matter fiber pathways in the living human brain. Such knowledge is crucial for understanding the way different parts of the brain work and how they interact with each other. The reconstruction of fiber tracts, however, depends on a number of parameters that introduce a degree of uncertainty in the data. Together with the parameter setting, other elements such as noise… CONTINUE READING
    4 Citations
    A Survey of Illustrative Visualization Techniques for Diffusion-Weighted MRI Tractography
    • Tobias Isenberg
    • Computer Science
    • Visualization and Processing of Higher Order Descriptors for Multi-Valued Data
    • 2015
    • 17
    • PDF


    Illustrative uncertainty visualization of DTI fiber pathways
    • 16
    • PDF
    Parameter Sensitivity Visualization for DTI Fiber Tracking
    • 49
    • PDF
    Improved visualization of fiber tracts in whole brain using illuminated line rendering
    • Zhenming Yuan, F. Dai, D. Xu
    • Computer Science
    • 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)
    • 2011
    • 1
    In vivo fiber tractography using DT‐MRI data
    • 2,836
    • PDF
    Uncertainty visualization in HARDI based on ensembles of ODFs
    • 33
    • PDF
    DTI in Context: Illustrating Brain Fiber Tracts In Situ
    • 29
    • PDF
    Estimation of the effective self-diffusion tensor from the NMR spin echo.
    • 3,355
    • PDF