BACKGROUND AND PURPOSE: The effects of a number of diffusion-encoding gradient
directions (NDGD) on diffusion tensor imaging (DTI) indices have been studied previously …

BACKGROUND AND PURPOSE: Diffusion tensor imaging (DTI) has become a valuable tool
in both the research and clinical evaluation of subjects. We sought to quantify interobserver …

BACKGROUND AND PURPOSE: DTI is increasingly being used as a measure to study
tissue damage in several neurologic diseases. Our aim was to investigate the comparability …

A number of studies are now collecting diffusion tensor imaging (DTI) data across sites.
While the reliability of anatomical images has been established by a number of groups, the …

The rotational variance dependence of diffusion tensor imaging (DTI) derived parameters on
the number of diffusion weighting directions (N) has been investigated by several Monte …

BACKGROUND AND PURPOSE: Precision medicine is an approach to disease diagnosis,
treatment, and prevention that relies on quantitative biomarkers that minimize the variability …

Abstract Diffusion Tensor Imaging (DTI) is adversely affected by subject motion. It is
necessary to discard the corrupted images before diffusion parameter estimation. However …

Background Diffusion tensor imaging (DTI) is increasingly used in various diseases as a
clinical tool for assessing the integrity of the brain's white matter. Reduced fractional …

Diffusion tensor imaging (DTI) is a promising method for characterizing microstructural
changes or differences with neuropathology and treatment. The diffusion tensor may be …

Acquisition parameters play a crucial role in Diffusion Tensor Imaging (DTI), as they have a
major impact on the values of scalar measures such as Fractional Anisotropy (FA) or Mean …