Sentence examples for diffusion dataset from inspiring English sources

To demonstrate the capability of the novel gradient system, data of healthy adult participants were acquired for this MGH-USC Adult Diffusion Dataset (N=35), minimally preprocessed, and shared through the Laboratory of Neuro Imaging Image Data Archive (LONI IDA) and the WU-Minn Connectome Database (ConnectomeDB).

However, the number of gradient directions in our diffusion dataset is not sufficient to accurately estimate the probability density function of the fiber orientations.

The diffusion dataset was pre-aligned to correct for head motion and the effects of gradient coil eddy currents using software tools from the FMRIB software library (FSL; http://www.fmrib.ox.ac.uk/fsl).ac.uk/fsl

Recent changes include an increasing number of multisite studies [ 19, 20], release of data from open science initiatives [ 21], and the expansion of imaging and phenotypic data acquisition protocols (e.g., the introduction of multiband imaging [ 22] have produced a nearly 40-fold increase in the size of functional and diffusion datasets).

"A comprehensive diffusion MRI dataset acquired on the MGH Connectome scanner in a biomimetic brain phantom". Data in Brief 18 (18: 334-339.

We provide a comprehensive diffusion MRI dataset acquired with a novel biomimetic phantom mimicking human white matter.

With white matter fiber tracking or tractography, projections among brain regions can be detected in the three-dimentional diffusion tensor dataset according to the directionality of the fibers.

The density estimation framework is demonstrated by various experiments with a diffusion MR dataset featuring high angular resolution, uncovering the fiber orientation field in the cerebral white matter of the living human brain.

Downstream, these surfaces will enhance comparisons of functional and diffusion MRI datasets, supporting the modelling of emerging patterns of brain connectivity.

First, diffusion MRI datasets were registered to the ABA mouse brain atlas image using ANTs automated image registration.

Structural connectome data were derived from the diffusion-weighted imaging dataset of 163 participants acquired at 7 Tesla by the Human Connectome Project Team62 (http://www.humanconnectome.org/study/hcp-young-adult/) (WU-Minn Consortium; Principal investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657).