Riemannian Framework for estimating Symmetric Positive Definite 4th Order Diffusion Tensors

This vector field is a sum of few local affine transformations, which are then easily interpretable and share some features of deformation modules even if regions of each

Au vu de ces quatre portraits, seules quelques femmes apparaissent auréolées de la vertu de sagesse. Toutes ont en commun d’appartenir à la noblesse, d’y tenir un rang hiérarchique

Introduction Historically Diffusion MRI started with Diffusion Tensor Imaging (DTI), which boosted the development of schemes for estimating positive definite tensors [1, 2] but

More specifically partial directional diffusion information contained in multiple Diffusion Weighted Im- ages (DWIs) are integrated using a reconstruction model to generate an

Generalized Diffusion Tensor Imaging tries to model the diffusion signal con- taining anisotropies suspected to be more complex than Gaussian anisotropy using higher order tensors..

On the other hand, an irreducible basis for isotropic sixth and eighth order tensors having the minor symmetries 2 and a closed-form so- lution of higher order inhomogeneity

For these two types of tensors, a method to build a reordered mode is proposed, which highlights the column redundancy and we derive a fast algorithm to compute their HOSVD.. Finally