Results 41 to 50 of about 389,778 (240)

Diffusion tensor imaging in radiosurgical callosotomy [PDF]

open access: yesSeizure, 2012
Callosotomy by radioneurosurgery induces slow and progressive axonal degeneration of white matter fibers, a key consequence of neuronal or axonal injury (radionecrosis). However, the acute effects are not apparent when using conventional MRI techniques.
J. M. Lárraga‐Gutiérrez   +5 more
openaire   +3 more sources

The Diffusion Tensor Imaging Toolbox [PDF]

open access: yesThe Journal of Neuroscience, 2012
During the past few years,The Journal of Neurosciencehas published more than 30 articles that describe investigations that used Diffusion Tensor Imaging (DTI) and related techniques as a primary observation method. This illustrates a growing interest in DTI within the basic and clinical neuroscience communities.
openaire   +3 more sources

Diffusion tensor imaging in schizophrenia

open access: yesEuropean Psychiatry, 2008
AbstractDiffusion tensor imaging (DTI) is a magnetic resonance imaging technique that is increasingly being used for the non-invasive evaluation of brain white matter abnormalities. In this review, we discuss the basic principles of DTI, its roots and the contribution of European centres in its development, and we review the findings from DTI studies ...
Kyriakopoulos, M   +3 more
openaire   +4 more sources

Research Progress of Denoising Algorithms for Diffusion Tensor Images

open access: yesChinese Journal of Magnetic Resonance
Diffusion tensor imaging is an essential technique to study tissue brain microstructure and the distribution of white matter fiber tracts. However, affected by the diffusion-weighted signal attenuation and long echo time, diffusion tensor images suffer ...
YANG Liming, WANG Yuanjun
doaj   +1 more source

Context-guided diffusion for label propagation on graphs [PDF]

open access: yes, 2016
Existing approaches for diffusion on graphs, e.g., for label propagation, are mainly focused on isotropic diffusion, which is induced by the commonly-used graph Laplacian regularizer. Inspired by the success of diffusivity tensors for anisotropic diffusion in image processing, we presents anisotropic diffusion on graphs and the corresponding label ...
arxiv   +1 more source

Diffusion tensor magnetic resonance imaging strategies for color mapping of human brain anatomy

open access: yesJournal of Medical Signals and Sensors, 2018
Background: A color mapping of fiber tract orientation using diffusion tensor imaging (DTI) can be prominent in clinical practice. The goal of this paper is to perform a comparative study of visualized diffusion anisotropy in the human brain anatomical ...
Saïd Boujraf
doaj   +1 more source

Using Diffusion Tensor Imaging to Evaluate Microstructural Changes and Outcomes after Radiofrequency Rhizotomy of Trigeminal Nerves in Patients with Trigeminal Neuralgia. [PDF]

open access: yesPLoS ONE, 2016
Trigeminal neuralgia is characterized by facial pain that may be sudden, intense, and recurrent. Our aim was to investigate microstructural tissue changes of the trigeminal nerve in patients with trigeminal neuralgia resulting from neurovascular ...
Shu-Tian Chen   +5 more
doaj   +1 more source

Higher-Order Tensors in Diffusion Imaging [PDF]

open access: yes, 2014
Diffusion imaging is a noninvasive tool for probing the microstructure of fibrous nerve and muscle tissue. Higher-order tensors provide a powerful mathematical language to model and analyze the large and complex data that is generated by its modern variants such as High Angular Resolution Diffusion Imaging (HARDI) or Diffusional Kurtosis Imaging.
Schultz, Thomas   +5 more
openaire   +4 more sources

Diffusion tensor MR microscopy of tissues with low diffusional anisotropy

open access: yesRadiology and Oncology, 2016
Diffusion tensor imaging exploits preferential diffusional motion of water molecules residing within tissue compartments for assessment of tissue structural anisotropy.
Bajd Franci   +3 more
doaj   +1 more source

FlexDTI: Flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning [PDF]

open access: yesarXiv, 2023
Objective: Most deep neural network-based diffusion tensor imaging methods require the diffusion gradients' number and directions in the data to be reconstructed to match those in the training data. This work aims to develop and evaluate a novel dynamic-convolution-based method called FlexDTI for highly efficient diffusion tensor reconstruction with ...
arxiv  

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