A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury
Mild traumatic brain injury (mTBI), also referred to as concussion, remains a controversial
diagnosis because the brain often appears quite normal on conventional computed …
diagnosis because the brain often appears quite normal on conventional computed …
MRI quantification of non‐Gaussian water diffusion by kurtosis analysis
Quantification of non‐Gaussianity for water diffusion in brain by means of diffusional kurtosis
imaging (DKI) is reviewed. Diffusional non‐Gaussianity is a consequence of tissue structure …
imaging (DKI) is reviewed. Diffusional non‐Gaussianity is a consequence of tissue structure …
[LIBRO][B] Tensor analysis: spectral theory and special tensors
L Qi, Z Luo - 2017 - SIAM
Matrix theory is one of the most fundamental tools of mathematics and science, and a
number of classical books on matrix analysis have been written to explore this theory. As a …
number of classical books on matrix analysis have been written to explore this theory. As a …
[HTML][HTML] SANDI: a compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI
This work introduces a compartment-based model for apparent cell body (namely soma) and
neurite density imaging (SANDI) using non-invasive diffusion-weighted MRI (DW-MRI). The …
neurite density imaging (SANDI) using non-invasive diffusion-weighted MRI (DW-MRI). The …
White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI
Diffusion-weighted MRI (DW-MRI) has been increasingly used in imaging neuroscience
over the last decade. An early form of this technique, diffusion tensor imaging (DTI) was …
over the last decade. An early form of this technique, diffusion tensor imaging (DTI) was …
[LIBRO][B] Tensor eigenvalues and their applications
Tensors, as geometric objects that describe linear or multi-linear relations between
geometric vectors, scalars, and other tensors, have provided a concise mathematical …
geometric vectors, scalars, and other tensors, have provided a concise mathematical …
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 …
[HTML][HTML] Diffusion tensor imaging and beyond
The diffusion of water molecules inside organic tissues is often anisotropic (1). Namely, if
there are aligned structures in the tissue, the apparent diffusion coefficient (ADC) of water …
there are aligned structures in the tissue, the apparent diffusion coefficient (ADC) of water …
Characterization of cerebral white matter properties using quantitative magnetic resonance imaging stains
The image contrast in magnetic resonance imaging (MRI) is highly sensitive to several
mechanisms that are modulated by the properties of the tissue environment. The degree and …
mechanisms that are modulated by the properties of the tissue environment. The degree and …
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 …