International audienceOBJECT: A method is proposed for generating schemes of diffusion gradient orientations which allow the diffusion tensor to be reconstructed from partial data sets in clinical DT-MRI, should the acquisition be corrupted or terminated before completion because of patient motion. MATERIALS AND METHODS: A general energy-minimization electrostatic model was developed in which the interactions between orientations are weighted according to their temporal order during acquisition. In this report, two corruption scenarios were specifically considered for generating relatively uniform schemes of 18 and 60 orientations, with useful subsets of 6 and 15 orientations. The sets and subsets were compared to conventional sets through ...
Diffusion-derived parameters find application in characterizing pathological and developmental chang...
Introduction Diffusion-tensor MRI often uses a spherical sampling scheme, which acquires images sequ...
The diffusion tensor imaging toolbox exploits various diffusion maps based on scalar metrics such as...
International audienceOBJECT: A method is proposed for generating schemes of diffusion gradient orie...
Object:A method is proposed for generating schemes of diffusion gradient orientations which allow th...
\u3cp\u3eThe recent challenge in diffusion imaging is to find acquisition schemes and analysis appro...
The recent challenge in diffusion imaging is to find acquisitionschemes and analysis approaches that...
With diffusion MR imaging, the Brownian motion (or self-diffusion) of water molecules is measured. I...
The importance of Magnetic Resonance Tomography (MRT) arises from the high frequency of water proton...
Diffusion tensor magnetic resonance imaging is the only non-invasive imaging technique that allows t...
International audienceFor clinical applications the number of diffusion MRI (dMRI) samples that can ...
Diffusion Tensor Imaging (DTI) is a popular model for representing diffusion weighted magnetic reson...
International audienceObjective: Diffusion imaging techniques such as DTI and HARDI are difficult to...
Voxel based morphometry (VBM) has been increasingly applied to detect diffusion tensor (DT) image ab...
Background: A color mapping of fiber tract orientation using diffusion tensor imaging (DTI) can be p...
Diffusion-derived parameters find application in characterizing pathological and developmental chang...
Introduction Diffusion-tensor MRI often uses a spherical sampling scheme, which acquires images sequ...
The diffusion tensor imaging toolbox exploits various diffusion maps based on scalar metrics such as...
International audienceOBJECT: A method is proposed for generating schemes of diffusion gradient orie...
Object:A method is proposed for generating schemes of diffusion gradient orientations which allow th...
\u3cp\u3eThe recent challenge in diffusion imaging is to find acquisition schemes and analysis appro...
The recent challenge in diffusion imaging is to find acquisitionschemes and analysis approaches that...
With diffusion MR imaging, the Brownian motion (or self-diffusion) of water molecules is measured. I...
The importance of Magnetic Resonance Tomography (MRT) arises from the high frequency of water proton...
Diffusion tensor magnetic resonance imaging is the only non-invasive imaging technique that allows t...
International audienceFor clinical applications the number of diffusion MRI (dMRI) samples that can ...
Diffusion Tensor Imaging (DTI) is a popular model for representing diffusion weighted magnetic reson...
International audienceObjective: Diffusion imaging techniques such as DTI and HARDI are difficult to...
Voxel based morphometry (VBM) has been increasingly applied to detect diffusion tensor (DT) image ab...
Background: A color mapping of fiber tract orientation using diffusion tensor imaging (DTI) can be p...
Diffusion-derived parameters find application in characterizing pathological and developmental chang...
Introduction Diffusion-tensor MRI often uses a spherical sampling scheme, which acquires images sequ...
The diffusion tensor imaging toolbox exploits various diffusion maps based on scalar metrics such as...