Sentence examples for diffusion orientation from inspiring English sources

While DTI provides excellent spatial resolution in individual subjects, a challenge is visualizing consistent patterns of diffusion orientation across subjects.

The simplest parametric model is the diffusion tensor describing a Gaussian estimate of the diffusion orientation and its strength in each voxel.

Several parametric models have been introduced for handling more complex diffusion patters such as mixtures of tensors [3 7], higher-order tensors [8], diffusion orientation transforms [9] and directional functions [10 12].

The dMRI methods tested include constrained spherical deconvolution (CSD), Q-ball imaging (QBI), diffusion orientation transform (DOT), persistent angular structure (PAS), and neurite orientation dispersion and density imaging (NODDI) methods.

Extensive experiments with both synthetic and real data show the better capability of our method to characterize complex micro-architectures compared to other related approaches (Q-Balls and Diffusion Orientation Transform), especially for low values of the diffusion weighting parameter.

Then, we present the Kalman filtering framework and we focus on the optimization of the diffusion orientation sets in order to speed up the convergence of the online processing.

Second, which is in our opinion the most likely explanation, is that for short-range edges there is no big difference between principal diffusion orientations that are coherently versus randomly oriented given the small number of tracking steps.

The results were used for generating mouse brain fiber density maps (FD) as well as highly resolved spatial histograms of diffusion orientations – here named high-resolution fiber map (hrFM).

It has been found that, facing high uncertainties in future technology trajectories, these countries may follow both mission-orientation and diffusion-orientation paradigms in technology development.

This study recommends designing end transitions at the predicted diffusion spit orientation to avoid post-nourishment spit formation during future projects.

To discuss the qualitative aspects of these regimes, let us consider the damping rate α as a varying parameter with other coefficients corresponding to anisotropies, diffusion, beam orientation, etc. as fixed.