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Exploration of the Brain's White Matter Structure through Visual Abstraction and Multi-Scale Local Fiber Tract Contraction
- Source :
- IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2015, 21 (7), pp.808--821. ⟨10.1109/tvcg.2015.2403323⟩, IEEE Transactions on Visualization and Computer Graphics, 2015, 21 (7), pp.808--821. ⟨10.1109/tvcg.2015.2403323⟩, IEEE transactions on visualization and computer graphics, 21(7):7042344, 808-821. IEEE Computer Society, IEEE Transactions on Visualization and Computer Graphics, 21(7), 808-821. IEEE COMPUTER SOC
- Publication Year :
- 2015
- Publisher :
- HAL CCSD, 2015.
-
Abstract
- International audience; We present a visualization technique for brain fiber tracts from DTI data that provides insight into the structure of white matter through visual abstraction. We achieve this abstraction by analyzing the local similarity of tract segment directions at different scales using a stepwise increase of the search range. Next, locally similar tract segments are moved toward each other in an iterative process, resulting in a local contraction of tracts perpendicular to the local tract direction at a given scale. This not only leads to the abstraction of the global structure of the white matter as represented by the tracts, but also creates volumetric voids. This increase of empty space decreases the mutual occlusion of tracts and, consequently, results in a better understanding of the brain's three-dimensional fiber tract structure. Our implementation supports an interactive and continuous transition between the original and the abstracted representations via various scale levels of similarity. We also support the selection of groups of tracts, which are highlighted and rendered with the abstracted visualization as context.
- Subjects :
- Adult
Male
TISSUES
Computer science
Fiber tract
[SCCO.COMP]Cognitive science/Computer science
BUNDLES
White matter
Neural Pathways
Computer Graphics
Image Processing, Computer-Assisted
medicine
Humans
Computer vision
medicine.diagnostic_test
business.industry
fiber tracts
DIFFUSION-TENSOR MRI
PATHWAYS
TRACTOGRAPHY
Magnetic resonance imaging
ATLAS
Magnetic Resonance Imaging
White Matter
Computer Graphics and Computer-Aided Design
medicine.anatomical_structure
Signal Processing
visual abstraction
VISUALIZATION
Female
Computer Vision and Pattern Recognition
Artificial intelligence
business
Diffusion Tensor Imaging (DTI)
illustrative visualization
Software
multi-scale representation
Diffusion MRI
Tractography
Subjects
Details
- Language :
- English
- ISSN :
- 10772626
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2015, 21 (7), pp.808--821. ⟨10.1109/tvcg.2015.2403323⟩, IEEE Transactions on Visualization and Computer Graphics, 2015, 21 (7), pp.808--821. ⟨10.1109/tvcg.2015.2403323⟩, IEEE transactions on visualization and computer graphics, 21(7):7042344, 808-821. IEEE Computer Society, IEEE Transactions on Visualization and Computer Graphics, 21(7), 808-821. IEEE COMPUTER SOC
- Accession number :
- edsair.doi.dedup.....f51cf6f103a1bffcfa4d670e1e5a1411