Results 31 to 40 of about 389,778 (240)
Diffusion Tensor Estimation with Transformer Neural Networks [PDF]
arXiv, 2022 Diffusion tensor imaging (DTI) is a widely used method for studying brain white matter development and degeneration. However, standard DTI estimation methods depend on a large number of high-quality measurements. This would require long scan times and can be particularly difficult to achieve with certain patient populations such as neonates.
arxiv
Probing tissue microstructure by diffusion skewness tensor imaging
Scientific Reports, 2021 Probing the cellular structure of in vivo biological tissue is a fundamental problem in biomedical imaging and medical science. This work introduces an approach for analyzing diffusion magnetic resonance imaging data acquired by the novel tensor-valued ...
Lipeng Ning +4 more
doaj +1 more source
TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging [PDF]
arXiv, 2022 Diffusion Weighted Imaging (DWI) is an advanced imaging technique commonly used in neuroscience and neurological clinical research through a Diffusion Tensor Imaging (DTI) model. Volumetric scalar metrics including fractional anisotropy, mean diffusivity, and axial diffusivity can be derived from the DTI model to summarise water diffusivity and other ...
arxiv
Time-optimized high-resolution readout-segmented diffusion tensor imaging. [PDF]
PLoS ONE, 2013 Readout-segmented echo planar imaging with 2D navigator-based reacquisition is an uprising technique enabling the sampling of high-resolution diffusion images with reduced susceptibility artifacts.
Gernot Reishofer +7 more
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Basal Ganglia Compensatory White Matter Changes on DTI in Alzheimer’s Disease
Cells, 2023 The volume reduction of the gray matter structures in patients with Alzheimer’s disease is often accompanied by an asymmetric increase in the number of white matter fibers located close to these structures. The present study aims to investigate the white
Zdeněk Wurst +12 more
doaj +1 more source
Rinsho Shinkeigaku, 2008 Diffusion tensor imaging of magnetic resonance imaging, including diffusion tensor tractography, is a unique tool to visualize and segment the white matter pathways in vivo and one can evaluate the segmented trace quantitatively. Three dimensional visualization of the white matter fibers, such as corticospinal (pyramidal) tracts, with relationship to ...
openaire +3 more sources
Determining anisotropic conductivity using diffusion tensor imaging data in magneto-acoustic tomography with magnetic induction [PDF]
, 2017 In this paper we present a mathematical and numerical framework for a procedure of imaging anisotropic electrical conductivity tensor by integrating magneto-acoutic tomography with data acquired from diffusion tensor imaging. Magneto-acoustic Tomography with Magnetic Induction (MAT-MI) is a hybrid, non-invasive medical imaging technique to produce ...
arxiv +1 more source
Исследования и практика в медицине, 2019 Purpose of the study. Concussion does not cause any lesions available for visualization using computed tomography and magnetic resonance imaging. However, it can cause changes at the microstructural level, which can be detected by the diffusion-tensor ...
A. V. Manzhurtsev +6 more
doaj +1 more source
Diffusion tensor imaging: Concepts and applications [PDF]
Journal of Magnetic Resonance Imaging, 2001 AbstractThe success of diffusion magnetic resonance imaging (MRI) is deeply rooted in the powerful concept that during their random, diffusion‐driven displacements molecules probe tissue structure at a microscopic scale well beyond the usual image resolution.
Le Bihan, D. +6 more
openaire +5 more sources
Scientific Data, 2022 Measurement(s) Diffusion Weighted Imaging • Magnetic Resonance Imaging of the Brain without Contrast • Diffusion Tensor Imaging Technology Type(s) 3 T MRI scanner Factor Type(s) Age • Gender Sample Characteristic - Organism Homo ...
Philippe Poulin +9 more
doaj +1 more source