Results 201 to 210 of about 33,176 (226)

Tractography visualization

Diffusion magnetic resonance imaging tractography is a powerful imaging technique that allows for the visualization of white matter tracts in the brain. This technique has become increasingly important in recent years as a way to study the structural connectivity of the brain and to investigate a wide range of neurological disorders.
Chamberland, Maxime, Poirier, Charles, Hendriks, Tom, Shastin, Dmitri, Vilanova, Anna, Leemans, Alexander   +5 more
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Think deep in the tractography game: deep learning for tractography computing and analysis

Brain Structure and Function
Tractography is a challenging process with complex rules, driving continuous algorithmic evolution to address its challenges. Meanwhile, deep learning has tackled similarly difficult tasks, such as mastering the Go board game and animating sophisticated robots.
Fan, Zhang, Antoine, Théberge, Pierre-Marc, Jodoin, Maxime, Descoteaux, Lauren J, O'Donnell   +4 more
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Nerve Pathways with MR Tractography

2006
Conventional and morphometric magnetic resonance (MR) techniques provide an accurate representation of the brain’s anatomy at a macroscopic scale, but they do not provide information on the topography of white matter bundles. The study of the anisotropic diffusion of water molecules (diffusion tensor imaging; DTI) and tractography (fibre tracking ...
Cherubini A, Luccichenti G, Fasano F, Hagberg GE, Péran P, DI SALLE, Francesco, ESPOSITO, Fabrizio, Scarabino T, Sabatini U.   +8 more
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The Biological Basis of Diffusion Tractography

3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., 2006
The magnitude and preferred direction of water molecule motion (i.e. diffusion) in a tissue measured by magnetic resonance imaging (MRI) is dependent on the underlying micro-structure. There is considerable difference in the water diffusion properties between the two major classes of tissue in the brain, the nearly isotropic gray matter CPUs and the ...
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Geodesic tractography

Differential geometry is an established framework for handling curves and surfaces. It is therefore natural to regard the problem of tractography from this perspective. In geodesic tractography, tentative tracts are operationally defined as (locally) shortest paths relative to some data-adaptive notion of length or cost. In a broader sense, it includes
Florack, Luc, Sengers, Rick, Fuster, Andrea   +2 more
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Global tractography

Tractography aims to infer, from a series of diffusion MRI images of the brain, the trajectories of the axonal fibers that generated them; however, as the typical size of the axons is much smaller than the spatial resolution attainable with MRI, this estimation process is ill-posed.
Daducci, Alessandro, Schiavi, Simona, Christiaens, Daan, Smith, Robert, Alexander, Daniel C.   +4 more
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Tractography of the corticobulbar tract

Journal of the Neurological Sciences, 2014
Jong Hun, Kim, Seun, Jeon, Jong Min, Lee, Jun Hong, Lee   +3 more
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DTI Tractography

Theoretical and Natural Science
The DTI technology used to observe the Nerve fascicle - “Nerve fascicle imaging” was also discussed in detail. Two types of deterministic and probabilistic traction imaging were compared from effectiveness and computational efficiency perspectives. Then an experimental study was conducted using different software to compare the fiber bundles of the ...
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Filtered tractography.

2010
Computer vision encompasses a host of computational techniques to process visual information. Medical imagery is one particular area of application where data comes in various forms: X-rays, ultrasound probes, MRI volumes, EEG recordings, NMR spectroscopy, etc.
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Track-to-Learn: A General Framework for Tractography With Deep Reinforcement Learning

Medical Image Analysis, 2021
Pierre-Marc Jodoin, Maxime Descoteaux, Christian Desrosiers   +2 more
exaly