Comparison of generalized autocalibrating partially parallel acquisitions and modified sensitivity encoding for diffusion tensor imaging

YA Bhagat, DJ Emery, S Naik, T Yeo… - American journal of …, 2007 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Diffusion tensor magnetic resonance imaging (DTI) of the
brain is usually acquired with single-shot echo-planar imaging, which is associated with …

Quantitative metrics for evaluating parallel acquisition techniques in diffusion tensor imaging at 3 Tesla

S Ardekani, L Selva, J Sayre, U Sinha - Investigative radiology, 2006 - journals.lww.com
Objectives: Single-shot echo-planar based diffusion tensor imaging is prone to geometric
and intensity distortions. Parallel imaging is a means of reducing these distortions while …

Toward precision and reproducibility of diffusion tensor imaging: a multicenter diffusion phantom and traveling volunteer study

EM Palacios, AJ Martin, MA Boss… - American Journal …, 2017 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Precision medicine is an approach to disease diagnosis,
treatment, and prevention that relies on quantitative biomarkers that minimize the variability …

Comparison of diffusion tensor imaging measurements at 3.0 T versus 1.5 T with and without parallel imaging

AL Alexander, JE Lee, YC Wu… - Neuroimaging …, 2006 - neuroimaging.theclinics.com
The range of clinical and research applications for diffusion tensor imaging (DTI) is
expanding rapidly. DTI measurements are highly sensitive to the image signal-to-noise ratio …

Multicenter reliability of diffusion tensor imaging

VA Magnotta, JT Matsui, D Liu, HJ Johnson… - Brain …, 2012 - liebertpub.com
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 …

A validation study of multicenter diffusion tensor imaging: reliability of fractional anisotropy and diffusivity values

RJ Fox, K Sakaie, JC Lee, JP Debbins… - American Journal …, 2012 - Am Soc Neuroradiology
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 …

Signal‐to‐noise assessment for diffusion tensor imaging with single data set and validation using a difference image method with data from a multicenter study

ZJ Wang, JM Chia, S Ahmed, NK Rollins - Medical physics, 2014 - Wiley Online Library
Purpose: To describe a quantitative method for determination of SNR that extracts the local
noise level using a single diffusion data set. Methods: Brain data sets came from a …

Reproducibility of diffusion tensor imaging in normal subjects: an evaluation of different gradient sampling schemes and registration algorithm

X Liu, Y Yang, J Sun, G Yu, J Xu, C Niu, H Tian, P Lin - Neuroradiology, 2014 - Springer
Introduction Diffusion tensor imaging (DTI) is very useful for investigating white matter
integrity in ageing and neurological disorders; thus, evaluating its reproducibility under …

Effects of number of diffusion gradient directions on derived diffusion tensor imaging indices in human brain

H Ni, V Kavcic, T Zhu, S Ekholm… - American Journal of …, 2006 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: The effects of a number of diffusion-encoding gradient
directions (NDGD) on diffusion tensor imaging (DTI) indices have been studied previously …

Evaluation of measurement uncertainties in human diffusion tensor imaging (DTI)‐derived parameters and optimization of clinical DTI protocols with a wild bootstrap …

T Zhu, X Liu, MD Gaugh, PR Connelly… - Journal of Magnetic …, 2009 - Wiley Online Library
Purpose To quantify measurement uncertainties of fractional anisotropy, mean diffusivity,
and principal eigenvector orientations in human diffusion tensor imaging (DTI) data acquired …