REKINDLE: robust extraction of kurtosis INDices with linear estimation

CMW Tax, WM Otte, MA Viergever… - Magnetic resonance …, 2015 - Wiley Online Library
Purpose Recent literature shows that diffusion tensor properties can be estimated more
accurately with diffusion kurtosis imaging (DKI) than with diffusion tensor imaging (DTI) …

Along‐tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in …

V Pieri, F Sanvito, M Riva, A Petrini… - Human Brain …, 2021 - Wiley Online Library
Along‐tract statistics analysis enables the extraction of quantitative diffusion metrics along
specific white matter fiber tracts. Besides quantitative metrics derived from classical diffusion …

[HTML][HTML] Neurite density imaging versus imaging of microscopic anisotropy in diffusion MRI: a model comparison using spherical tensor encoding

B Lampinen, F Szczepankiewicz, J Mårtensson… - Neuroimage, 2017 - Elsevier
In diffusion MRI (dMRI), microscopic diffusion anisotropy can be obscured by orientation
dispersion. Separation of these properties is of high importance, since it could allow dMRI to …

[HTML][HTML] Linear, planar and spherical tensor-valued diffusion MRI data by free waveform encoding in healthy brain, water, oil and liquid crystals

F Szczepankiewicz, S Hoge, CF Westin - Data in brief, 2019 - Elsevier
Recently, several biophysical models and signal representations have been proposed for
microstructure imaging based on tensor-valued, or multidimensional, diffusion MRI. The …

DTI‐MR fingerprinting for rapid high‐resolution whole‐brain T1, T2, proton density, ADC, and fractional anisotropy mapping

X Cao, C Liao, Z Zhou, Z Zhong, Z Li… - Magnetic resonance …, 2024 - Wiley Online Library
Purpose This study aims to develop a high‐efficiency and high‐resolution 3D imaging
approach for simultaneous mapping of multiple key tissue parameters for routine brain …

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 …

Retrospective correction of bias in diffusion tensor imaging arising from coil combination mode

K Sakaie, M Lowe - Magnetic resonance imaging, 2017 - Elsevier
Purpose To quantify and retrospectively correct for systematic differences in diffusion tensor
imaging (DTI) measurements due to differences in coil combination mode. Background Multi …

Effect of gradient pulse duration on MRI estimation of the diffusional kurtosis for a two-compartment exchange model

JH Jensen, JA Helpern - Journal of Magnetic Resonance, 2011 - Elsevier
Hardware constraints typically require the use of extended gradient pulse durations for
clinical applications of diffusion-weighted magnetic resonance imaging (DW-MRI), which …

NODDI and tensor-based microstructural indices as predictors of functional connectivity

F Deligianni, DW Carmichael, GH Zhang, CA Clark… - Plos one, 2016 - journals.plos.org
In Diffusion Weighted MR Imaging (DWI), the signal is affected by the biophysical properties
of neuronal cells and their relative placement, as well as extra-cellular tissue compartments …

Whole-brain diffusional variance decomposition (DIVIDE): Demonstration of technical feasibility at clinical MRI systems

F Szczepankiewicz, J Sjölund, F Ståhlberg… - arXiv preprint arXiv …, 2016 - arxiv.org
Purpose: To assess the technical feasibility of whole-brain diffusional variance
decomposition (DIVIDE) based on q-space trajectory encoding (QTE) at clinical MRI systems …