Results 21 to 30 of about 140,778 (286)

Inter-vendor and inter-observer reliability of diffusion tensor imaging in the musculoskeletal system: a multiscanner MR study

open access: yesInsights into Imaging, 2023
Key points 1. Diffusion tensor imaging shows excellent inter-observer reliability. 2. Diffusion tensor imaging shows excellent inter-vendor reliability. 3.
Vito Chianca   +5 more
doaj   +1 more source

Correlation between diffusion tensor indices and fascicular morphometric parameters of peripheral nerve

open access: yesFrontiers in Physiology, 2023
Introduction: Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique that measures the anisotropy of water diffusion. Clinical magnetic resonance imaging scanners enable visualization of the structural integrity of larger axonal ...
Luka Pušnik   +5 more
doaj   +1 more source

Diffusion-weighted imaging and diffusion tensor imaging of the heart in vivo: major developments

open access: yesAdvances in Interventional Cardiology, 2022
Diffusion-weighted magnetic resonance imaging (DWI) is a powerful diagnostic tool. Contrast in DWI images is dictated by the differences in diffusion of water in tissues, which depends on the tissue type, hydration and fluid composition.
Weronika Mazur   +2 more
doaj   +1 more source

Diffusion Tensor Imaging [PDF]

open access: yes, 2020
Diffusion tensor imaging (DTI) is a powerful magnetic resonance imaging (MRI) technique that enables the measurement of the structural integrity of neural tissue. DTI allows for the visualisation of changes within neural tracts in conditions such as stroke, brain tumours, multiple sclerosis, Parkinson’s disease, Alzheimer’s disease and epilepsy.
Samira N. Kashefi, Gavin P. Winston
openaire   +2 more sources

Exploiting Spatial Information to Enhance DTI Segmentations via Spatial Fuzzy c-Means with Covariance Matrix Data and Non-Euclidean Metrics

open access: yesApplied Sciences, 2021
A diffusion tensor models the covariance of the Brownian motion of water at a voxel and is required to be symmetric and positive semi-definite. Therefore, image processing approaches, designed for linear entities, are not effective for diffusion tensor ...
Safa Elsheikh, Andrew Fish, Diwei Zhou
doaj   +1 more source

Diffusion Tensor Imaging [PDF]

open access: yesCurrent Protocols in Magnetic Resonance Imaging, 2003
AbstractThis unit provides step‐by‐step instructions on how to perform diffusion tensor imaging (DTI) in a clinical setting. A brief introduction on DTI techniques and current clinical applications is also presented. Additional technical details, practical considerations, and anticipated results are discussed in a commentary section.
Zhou, Xiaohong Joe, Thulborn, Keith R.
openaire   +2 more sources

Diffusion Tensor Imaging [PDF]

open access: yes, 2014
Diffusion tensor imaging (DTI) is an advanced magnetic resonance imaging (MRI) technique that provides detailed information about tissue microstructure such as fiber orientation, axonal density, and degree of myelination. DTI is based on the measurement of the diffusion of water molecules.
Inga Katharina Koerte, Marc Muehlmann
  +4 more sources

In ovo monitoring of smooth muscle fiber development in the chick embryo: diffusion tensor imaging with histologic correlation. [PDF]

open access: yesPLoS ONE, 2012
BACKGROUND: Magnetic resonance imaging is a noninvasive method of evaluating embryonic development. Magnetic resonance diffusion tensor imaging, which is based on the measuring the directional diffusivity of water molecules, is an established method of ...
Jianrong Xu   +7 more
doaj   +1 more source

Stochastic Algorithms for White Matter Fiber Tracking and the Inference of Brain Connectivity from MR Diffusion Tensor Data [PDF]

open access: yes, 2005
We consider several stochastic algorithms for fiber tracking and compute the connectivity matrix from data obtained by magnetic resonance diffusion tensor imaging of the living human ...
Hahn, Klaus, Prigarin, Sergej
core   +1 more source

Empirical comparison of diffusion kurtosis imaging and diffusion basis spectrum imaging using the same acquisition in healthy young adults [PDF]

open access: yes, 2017
As diffusion tensor imaging gains widespread use, many researchers have been motivated to go beyond the tensor model and fit more complex diffusion models, to gain a more complete description of white matter microstructure and associated pathology.
Grabowski, Thomas J   +6 more
core   +2 more sources

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