Synopsis: The number of atlas construction methods for diffusion weighted imaging is at least equal to the number of possible models which can be reconstructed from the original data in q-space. Therefore, we aim at constructing an atlas before the reconstruction of any of these models: a hybrid diffusion imaging atlas containing signal functions for multiple shells of q-space. In this work, we show how this can be achieved by creating such an atlas (containing signal functions for b = 700, 1000, 2800) and reconstructing some possible models of diffusion (diffusion tensor and fiber orientation distribution function) from the result.Dhollander, T., Van Hecke, W., Maes, F., Sunaert, S., Suetens, P.: A Hybrid Diffusion Imaging Atlas in Q-space...
Description Diffusion anisotropy has been used to characterize white matter neuronal pathways in the...
Tensor-valued diffusion encoding facilitates data analysis by q-space trajectory imaging. By modelin...
In recent years, several new diffusion MRI approaches have been proposed to explore microstructural ...
We propose a large deformation diffeomorphic metric mapping algorithm to align multiple b-value diff...
A crucial operation in every image registration algorithm is the application of a spatial transforma...
International audienceMany recent high angular resolution diffusion imaging (HARDI) reconstruction t...
ABSTRACT: q-Space-based techniques such as diffusion spectrum imaging, q-ball imaging, and their var...
High-angular resolution diffusion imaging (HARDI) can reconstruct fiber pathways in the brain with e...
\u3cp\u3eThe recent challenge in diffusion imaging is to find acquisition schemes and analysis appro...
This work describes a new diffusion MR framework for imaging and modeling of microstructure that we ...
Special Issue on Mathematics in Brain Imaging. In Press, Accepted Manuscript, Available online 13 No...
We present a high angular resolution brain atlas constructed by averaging 90 diffusion spectrum imag...
Magnetic resonance diffusion tensor imaging (DTI) provides a powerful tool for mapping neural histoa...
The recent challenge in diffusion imaging is to find acquisitionschemes and analysis approaches that...
Haeck T., Dhollander T., Van Hecke W., Maes F., Sunaert S., Suetens P., ''Interpolation of high angu...
Description Diffusion anisotropy has been used to characterize white matter neuronal pathways in the...
Tensor-valued diffusion encoding facilitates data analysis by q-space trajectory imaging. By modelin...
In recent years, several new diffusion MRI approaches have been proposed to explore microstructural ...
We propose a large deformation diffeomorphic metric mapping algorithm to align multiple b-value diff...
A crucial operation in every image registration algorithm is the application of a spatial transforma...
International audienceMany recent high angular resolution diffusion imaging (HARDI) reconstruction t...
ABSTRACT: q-Space-based techniques such as diffusion spectrum imaging, q-ball imaging, and their var...
High-angular resolution diffusion imaging (HARDI) can reconstruct fiber pathways in the brain with e...
\u3cp\u3eThe recent challenge in diffusion imaging is to find acquisition schemes and analysis appro...
This work describes a new diffusion MR framework for imaging and modeling of microstructure that we ...
Special Issue on Mathematics in Brain Imaging. In Press, Accepted Manuscript, Available online 13 No...
We present a high angular resolution brain atlas constructed by averaging 90 diffusion spectrum imag...
Magnetic resonance diffusion tensor imaging (DTI) provides a powerful tool for mapping neural histoa...
The recent challenge in diffusion imaging is to find acquisitionschemes and analysis approaches that...
Haeck T., Dhollander T., Van Hecke W., Maes F., Sunaert S., Suetens P., ''Interpolation of high angu...
Description Diffusion anisotropy has been used to characterize white matter neuronal pathways in the...
Tensor-valued diffusion encoding facilitates data analysis by q-space trajectory imaging. By modelin...
In recent years, several new diffusion MRI approaches have been proposed to explore microstructural ...