Brain structural and functional connectivity: a review of combined works of diffusion magnetic resonance imaging and electro-encephalography
P Babaeeghazvini, LM Rueda-Delgado… - Frontiers in Human …, 2021 - frontiersin.org
Implications of structural connections within and between brain regions for their functional
counterpart are timely points of discussion. White matter microstructural organization and …
counterpart are timely points of discussion. White matter microstructural organization and …
MR diffusion kurtosis imaging for neural tissue characterization
In conventional diffusion tensor imaging (DTI), water diffusion distribution is described as a
2nd‐order three‐dimensional (3D) diffusivity tensor. It assumes that diffusion occurs in a free …
2nd‐order three‐dimensional (3D) diffusivity tensor. It assumes that diffusion occurs in a free …
Denoising of diffusion MRI using random matrix theory
We introduce and evaluate a post-processing technique for fast denoising of diffusion-
weighted MR images. By exploiting the intrinsic redundancy in diffusion MRI using universal …
weighted MR images. By exploiting the intrinsic redundancy in diffusion MRI using universal …
Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data
Constrained spherical deconvolution (CSD) has become one of the most widely used
methods to extract white matter (WM) fibre orientation information from diffusion-weighted …
methods to extract white matter (WM) fibre orientation information from diffusion-weighted …
Q-space deep learning: twelve-fold shorter and model-free diffusion MRI scans
Numerous scientific fields rely on elaborate but partly suboptimal data processing pipelines.
An example is diffusion magnetic resonance imaging (diffusion MRI), a non-invasive …
An example is diffusion magnetic resonance imaging (diffusion MRI), a non-invasive …
Estimation of tensors and tensor‐derived measures in diffusional kurtosis imaging
This article presents two related advancements to the diffusional kurtosis imaging estimation
framework to increase its robustness to noise, motion, and imaging artifacts. The first …
framework to increase its robustness to noise, motion, and imaging artifacts. The first …
Gliomas: diffusion kurtosis MR imaging in grading
Purpose To assess the diagnostic accuracy of diffusion kurtosis magnetic resonance
imaging parameters in grading gliomas. Materials and Methods The institutional review …
imaging parameters in grading gliomas. Materials and Methods The institutional review …
Age-related microstructural differences quantified using myelin water imaging and advanced diffusion MRI
Age-related microstructural differences have been detected using diffusion tensor imaging
(DTI). Although DTI is sensitive to the effects of aging, it is not specific to any underlying …
(DTI). Although DTI is sensitive to the effects of aging, it is not specific to any underlying …
[HTML][HTML] Diffusion-weighted imaging: recent advances and applications
Quantitative diffusion imaging techniques enable the characterization of tissue
microstructural properties of the human brain “in vivo”, and are widely used in neuroscientific …
microstructural properties of the human brain “in vivo”, and are widely used in neuroscientific …
Optimal experiment design for magnetic resonance fingerprinting: Cramér-Rao bound meets spin dynamics
Magnetic resonance (MR) fingerprinting is a new quantitative imaging paradigm, which
simultaneously acquires multiple MR tissue parameter maps in a single experiment. In this …
simultaneously acquires multiple MR tissue parameter maps in a single experiment. In this …