[HTML][HTML] The sensitivity of diffusion MRI to microstructural properties and experimental factors

M Afzali, T Pieciak, S Newman, E Garyfallidis… - Journal of Neuroscience …, 2021 - Elsevier
Diffusion MRI is a non-invasive technique to study brain microstructure. Differences in the
microstructural properties of tissue, including size and anisotropy, can be represented in the …

Double diffusion encoding and applications for biomedical imaging

RN Henriques, M Palombo, SN Jespersen… - Journal of Neuroscience …, 2021 - Elsevier
Abstract Diffusion Magnetic Resonance Imaging (dMRI) is one of the most important
contemporary non-invasive modalities for probing tissue structure at the microscopic scale …

Accuracy and precision of statistical descriptors obtained from multidimensional diffusion signal inversion algorithms

A Reymbaut, P Mezzani… - NMR in …, 2020 - Wiley Online Library
In biological tissues, typical MRI voxels comprise multiple microscopic environments, the
local organization of which can be captured by microscopic diffusion tensors. The measured …

Computing the orientational-average of diffusion-weighted MRI signals: a comparison of different techniques

M Afzali, H Knutsson, E Özarslan, DK Jones - Scientific Reports, 2021 - nature.com
Numerous applications in diffusion MRI involve computing the orientationally-averaged
diffusion-weighted signal. Most approaches implicitly assume, for a given b-value, that the …

[HTML][HTML] Q-space trajectory imaging with positivity constraints (QTI+)

M Herberthson, D Boito, TD Haije, A Feragen… - NeuroImage, 2021 - Elsevier
Q-space trajectory imaging (QTI) enables the estimation of useful scalar measures indicative
of the local tissue structure. This is accomplished by employing generalized gradient …

Diffusion anisotropy and tensor-valued encoding

A Reymbaut - 2020 - books.rsc.org
Various systems (cellulose fibers, mesoporous silica, lyotropic liquid crystals, brain white
matter, tumors, etc.) encapsulate liquids within multiple microscopic environments whose …

Direction‐averaged diffusion‐weighted MRI signal using different axisymmetric B‐tensor encoding schemes

M Afzali, S Aja‐Fernández… - Magnetic resonance in …, 2020 - Wiley Online Library
Purpose It has been shown, theoretically and in vivo, that using the Stejskal‐Tanner pulsed‐
gradient, or linear tensor encoding (LTE), and in tissue exhibiting a “stick‐like” diffusion …

Magic DIAMOND: multi-fascicle diffusion compartment imaging with tensor distribution modeling and tensor-valued diffusion encoding

A Reymbaut, AV Caron, G Gilbert… - Medical Image …, 2021 - Elsevier
Diffusion tensor imaging provides increased sensitivity to microstructural tissue changes
compared to conventional anatomical imaging but also presents limited specificity. To tackle …

Multidimensional diffusion MRI methods with confined subdomains

D Boito, C Yolcu, E Özarslan - Frontiers in Physics, 2022 - frontiersin.org
Diffusion Magnetic Resonance Imaging (dMRI) is an imaging technique with exquisite
sensitivity to the microstructural properties of heterogeneous media. The conventionally …

Measurement of full diffusion tensor distribution using high-gradient diffusion MRI and applications in diffuse gliomas

Y Song, I Ly, Q Fan, A Nummenmaa… - Frontiers in …, 2022 - frontiersin.org
Diffusion MRI is widely used for the clinical examination of a variety of diseases of the
nervous system. However, clinical MRI scanners are mostly capable of magnetic field …