Comparison of neurite orientation dispersion and density imaging and two-compartment spherical mean technique parameter maps in multiple sclerosis
Background: Neurite orientation dispersion and density imaging (NODDI) and the spherical
mean technique (SMT) are diffusion MRI methods providing metrics with sensitivity to similar …
mean technique (SMT) are diffusion MRI methods providing metrics with sensitivity to similar …
[HTML][HTML] A Data-Driven Variability Assessment of Brain Diffusion MRI Preprocessing Pipelines
The preprocessing of dMRI data sets is a critical step in the experimental workflow that, in
general, improves the data reliability. We provide a comprehensive survey of the …
general, improves the data reliability. We provide a comprehensive survey of the …
Multiparameter Mapping
J Polzehl, K Tabelow - Magnetic Resonance Brain Imaging: Modelling and …, 2023 - Springer
Unlike conventional weighted MRI, leading to T 1-, T 2-, T 2⋆-, or proton density (PD)
weighted images in arbitrary units, quantitative MRI (qMRI) aims to estimate absolute …
weighted images in arbitrary units, quantitative MRI (qMRI) aims to estimate absolute …
[PDF][PDF] Ordering diffusion-weighted MRI measurements improves results from partially completed scans
Methods We model the gradient directions as N antipodal pairs of identically charged
particles [3]. In a similar manner to Jansons and Alexander [4], we arrange the pairs to …
particles [3]. In a similar manner to Jansons and Alexander [4], we arrange the pairs to …
Quality assurance multicenter comparison of different MR scanners for quantitative diffusion‐weighted imaging
G Belli, S Busoni, A Ciccarone… - Journal of Magnetic …, 2016 - Wiley Online Library
Purpose To propose a magnetic resonance imaging (MRI) quality assurance procedure that
can be used for multicenter comparison of different MR scanners for quantitative diffusion …
can be used for multicenter comparison of different MR scanners for quantitative diffusion …
Diffusion MRI metrics and their relation to dementia severity: effects of harmonization approaches
SI Thomopoulos, TM Nir… - 17th International …, 2021 - spiedigitallibrary.org
Diffusion-weighted magnetic resonance imaging (dMRI) is sensitive to microstructural
changes in the brain that occur with normal aging and Alzheimer's disease (AD). There is …
changes in the brain that occur with normal aging and Alzheimer's disease (AD). There is …
A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging
The ability to evaluate empirical diffusion MRI acquisitions for quality and to correct the
resulting imaging metrics allows for improved inference and increased replicability. Previous …
resulting imaging metrics allows for improved inference and increased replicability. Previous …
[HTML][HTML] Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction
Diffusion MRI data can be affected by hardware and subject-related artefacts that can
adversely affect downstream analyses. Therefore, automated quality control (QC) is of great …
adversely affect downstream analyses. Therefore, automated quality control (QC) is of great …
Apparent propagator anisotropy from single‐shell diffusion MRI acquisitions
S Aja‐Fernández, A Tristán‐Vega… - Magnetic Resonance in …, 2021 - Wiley Online Library
Purpose The apparent propagator anisotropy (APA) is a new diffusion MRI metric that, while
drawing on the benefits of the ensemble averaged propagator anisotropy (PA) compared to …
drawing on the benefits of the ensemble averaged propagator anisotropy (PA) compared to …