Diffusion tensor imaging (DTI) is a quantitative MRI method that is widely used to study the microstructural properties of white matter in the brain. This sensitivity to microstructure and tissue organization makes DTI an important tool for studying the normal, diseased, and developing brain. DTI is applied to studies in which scans of subjects from a patient group and a control group are compared. In performing group analysis on each voxel (as in voxel based morphometry (VBM)) or region of interest (ROI) analysis, the mean values of tensor-derived quantities, such as trace and fractional anisotrop
BACKGROUND AND PURPOSE: The effects of a number of diffusion-encoding gradient directions (NDGD) on ...
Voxel based morphometry (VBM) has been increasingly applied to detect diffusion tensor (DT) image ab...
We compared results from various methods of analysis of diffusion tensor imaging (DTI) data from a s...
Diffusion tensor imaging (DTI) has revolutionized the visualization of white matter in vivo. However...
journal articleDiffusion tensor imaging (DTI) provides a unique source of information about the unde...
Diffusion tensor imaging (DTI) data differ fundamentally from most brain imaging data in that values...
<div><p>Abstract Introduction: The search for human brain templates has been progressing in the past...
Voxel-based analysis (VBA) of diffusion tensor imaging (DTI) data permits the investigation of voxel...
journal articleDiffusion tensor imaging (DTI) has become the major modality to study properties of w...
Acquisition parameters play a crucial role in Diffusion Tensor Imaging (DTI), as they have a major i...
Voxel-based analysis (VBA) of diffusion tensor imaging (DTI) data permits the investigation of voxel...
<div><p>Acquisition parameters play a crucial role in Diffusion Tensor Imaging (DTI), as they have a...
BACKGROUND AND PURPOSE: Diffusion tensor imaging (DTI) has become a valuable tool in both the resear...
<p>Data (mm<sup>2</sup>/second) were obtained from 26 volunteers using the region of interest (ROI) ...
International audienceQuantitative diffusion tensor imaging (DTI) has become the major imaging modal...
BACKGROUND AND PURPOSE: The effects of a number of diffusion-encoding gradient directions (NDGD) on ...
Voxel based morphometry (VBM) has been increasingly applied to detect diffusion tensor (DT) image ab...
We compared results from various methods of analysis of diffusion tensor imaging (DTI) data from a s...
Diffusion tensor imaging (DTI) has revolutionized the visualization of white matter in vivo. However...
journal articleDiffusion tensor imaging (DTI) provides a unique source of information about the unde...
Diffusion tensor imaging (DTI) data differ fundamentally from most brain imaging data in that values...
<div><p>Abstract Introduction: The search for human brain templates has been progressing in the past...
Voxel-based analysis (VBA) of diffusion tensor imaging (DTI) data permits the investigation of voxel...
journal articleDiffusion tensor imaging (DTI) has become the major modality to study properties of w...
Acquisition parameters play a crucial role in Diffusion Tensor Imaging (DTI), as they have a major i...
Voxel-based analysis (VBA) of diffusion tensor imaging (DTI) data permits the investigation of voxel...
<div><p>Acquisition parameters play a crucial role in Diffusion Tensor Imaging (DTI), as they have a...
BACKGROUND AND PURPOSE: Diffusion tensor imaging (DTI) has become a valuable tool in both the resear...
<p>Data (mm<sup>2</sup>/second) were obtained from 26 volunteers using the region of interest (ROI) ...
International audienceQuantitative diffusion tensor imaging (DTI) has become the major imaging modal...
BACKGROUND AND PURPOSE: The effects of a number of diffusion-encoding gradient directions (NDGD) on ...
Voxel based morphometry (VBM) has been increasingly applied to detect diffusion tensor (DT) image ab...
We compared results from various methods of analysis of diffusion tensor imaging (DTI) data from a s...