“Perceptual coloring and 2D sketching for segmentation of neural pathways” by Zhou, Sibley, Zhang, Tate and Laidlaw

  • ©Wenjin Zhou, Peter G. Sibley, Song Zhang, David F. Tate, and David H. Laidlaw

  • ©Wenjin Zhou, Peter G. Sibley, Song Zhang, David F. Tate, and David H. Laidlaw

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Title:

    Perceptual coloring and 2D sketching for segmentation of neural pathways

Presenter(s)/Author(s):



Abstract:


    We present a system which visualizes the geometric disparity between white matter tracts obtained from DT-MRI by coloring in perceptually uniform color space and allows expert users of the application to select regions interactively with a 2D based sketching mechanism. This approach, in contrast to automatically clustering tracts, better reflects the uncertainity in forming scientific model from geometric information and the 2D sketching interface exploits neuroscientists’ expertise with sectional anatomy.

References:


    1. Akers, D. 2006. Wizard of oz for participatory design: Inventing an interface for 3d selection of neural pathway estimates. In CHI. Work In Progress.
    2. Brun, A., Park, H.-J., Knutsson, H., and Westin, C.-F. 2003. Coloring of dt-mri fiber traces using laplcian eigenmaps. In EUROCAST’03, 564–572.
    3. Lee, S., Correia, S., Tate, D., Paul, R., Zhang, S., Salloway, S., Malloy, P., and Laidlaw, D. H. 2006. Quantitative tract-of-interest metrics for white matter integrity based on diffusion tensor mri data. In ISMRM.
    4. Zhang, S., Demiralp, C., and Laidlaw, D. H. 2003. Visualizing diffusion tensor MR images using streamtubes and streamsurfaces. IEEE TVCG 9, 4 (October), 454–462.


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