Add to ORKGIn diffusion MRI, traditional tractography algorithms do not recover truly quantitative tractograms and the structural connectivity has to be estimated indirectly by counting the number of fiber tracts or averaging scalar maps along them. Recently, global and efficient methods have emerged to estimate more quantitative tractograms by combining tractography with local models for the diffusion signal, like the Convex Optimization Modeling for Microstructure Informed Tractography (COMMIT) framework. In this abstract, we show the importance of using both (i) proper multi-compartment diffusion models and (ii) adequate multi-shell acquisitions, in order to evaluate the accuracy and the biological plausibility of the tractograms
Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) on the brain is a revolutionary method that p...
This chapter describes the underlying principles and most common techniques in diffusion tractograph...
Diffusion MRI provides a unique opportunity to study the brain tissue architecture at a microscopic ...
In diffusion MRI, traditional tractography algorithms do not recover truly quantitative tractograms ...
Tractography is a class of algorithms aiming at in vivo mapping the major neuronal pathways in the w...
International audienceAs it provides the only method for mapping white matter fibers in vivo, diffus...
Tractography is a class of algorithms aiming at in vivo mapping the major neuronal pathways in the w...
As it provides the only method for mapping white matter fibers in vivo, diffusion MRI tractography i...
One of the major limitations of diffusion MRI tractography is that the fiber tracts recovered by exi...
Tractography is a class of algorithms aiming at in vivo mapping the major neuronal pathways in the w...
Diffusion MRI fiber tractography is widely used to probe the structural connectivity of the brain, w...
textabstractA large number of mathematical models have been proposed to describe the measured signal...
In this article, we highlight an issue that arises when using multiple b‐values in a model‐based ana...
Diffusion MRI fiber tractography is widely used to probe the structural connectivity of the brain, w...
Purpose: Diffusion magnetic resonance imaging (MRI) micro-structure imaging provides a unique noninv...
Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) on the brain is a revolutionary method that p...
This chapter describes the underlying principles and most common techniques in diffusion tractograph...
Diffusion MRI provides a unique opportunity to study the brain tissue architecture at a microscopic ...
In diffusion MRI, traditional tractography algorithms do not recover truly quantitative tractograms ...
Tractography is a class of algorithms aiming at in vivo mapping the major neuronal pathways in the w...
International audienceAs it provides the only method for mapping white matter fibers in vivo, diffus...
Tractography is a class of algorithms aiming at in vivo mapping the major neuronal pathways in the w...
As it provides the only method for mapping white matter fibers in vivo, diffusion MRI tractography i...
One of the major limitations of diffusion MRI tractography is that the fiber tracts recovered by exi...
Tractography is a class of algorithms aiming at in vivo mapping the major neuronal pathways in the w...
Diffusion MRI fiber tractography is widely used to probe the structural connectivity of the brain, w...
textabstractA large number of mathematical models have been proposed to describe the measured signal...
In this article, we highlight an issue that arises when using multiple b‐values in a model‐based ana...
Diffusion MRI fiber tractography is widely used to probe the structural connectivity of the brain, w...
Purpose: Diffusion magnetic resonance imaging (MRI) micro-structure imaging provides a unique noninv...
Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) on the brain is a revolutionary method that p...
This chapter describes the underlying principles and most common techniques in diffusion tractograph...
Diffusion MRI provides a unique opportunity to study the brain tissue architecture at a microscopic ...