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Perceptual coloring and 2D sketching for segmentation of neural pathways

Published: 30 July 2006 Publication History

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.

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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.

Cited By

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  • (2024)psudo: Exploring Multi‐Channel Biomedical Image Data with Spatially and Perceptually Optimized PseudocoloringComputer Graphics Forum10.1111/cgf.1510343:3Online publication date: 10-Jun-2024

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cover image ACM Conferences
SIGGRAPH '06: ACM SIGGRAPH 2006 Research posters
July 2006
217 pages
ISBN:1595933646
DOI:10.1145/1179622
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 30 July 2006

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  • (2024)psudo: Exploring Multi‐Channel Biomedical Image Data with Spatially and Perceptually Optimized PseudocoloringComputer Graphics Forum10.1111/cgf.1510343:3Online publication date: 10-Jun-2024

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