Detecting statistically significant differences in quantitative MRI experiments, applied to diffusion tensor imaging

DHJ Poot, S Klein - IEEE transactions on medical imaging, 2014 - ieeexplore.ieee.org
In this work we present a framework for reliably detecting significant differences in
quantitative magnetic resonance imaging and evaluate it 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 …

Harmonization of white and gray matter features in diffusion microarchitecture for cross-sectional studies

P Parvathaneni, S Bao, A Hainline, Y Huo… - … Aided Intervention and …, 2019 - Springer
Understanding of the specific processes involved in the development of brain
microarchitecture and how these are altered by genetic, cognitive, or environmental factors …

Alternative Diffusion Anisotropy Metric from Reduced MRI Acquisitions

S Aja-Fernández, A Tristán-Vega… - … Diffusion MRI: MICCAI …, 2020 - Springer
A novel diffusion anisotropy metric is presented. It is based on dissimilarity between the
acquired diffusion signal and its isotropic equivalent. Using the inner product of signals, a …

Assessment of the effect of intensity standardization on the reliability of T1-weighted MRI radiomic features: experiment on a virtual phantom

M Bologna, VDA Corino… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
The effect of time of repetition (TR) and time of echo (TE) on radiomic features was
evaluated using a virtual phantom. Forty-two T1-weighted MRI images of the same virtual …

[HTML][HTML] Mahalanobis distance tractometry (MaD-Tract)–a framework for personalized white matter anomaly detection applied to TBI

JM Guerrero-Gonzalez, B Yeske, GR Kirk, MJ Bell… - NeuroImage, 2022 - Elsevier
Imaging-based quantitative measures from diffusion-weighted MRI (dMRI) offer the ability to
non-invasively extract microscopic information from human brain tissues. Group-level …

A group-level comparison of volumetric and combined volumetric-surface normalization for whole brain analyses of myelin and iron maps

A Canna, S Ponticorvo, AG Russo, R Manara… - Magnetic Resonance …, 2018 - Elsevier
Quantitative MRI (qMRI) provides surrogate brain maps of myelin and iron content. After
spatial normalization to a common standard brain space, these may be used to detect …

YTTRIUM: QC algorithm for the processed diffusion maps in UK Biobank 18608 sample

Diffusion MRI is a powerful approach to quantify brain architecture. However, diffusion scalar
maps derived from raw data are sensitive to the data quality and processing choices. Many …

Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method

T Xu, X Cai, Y Wang, X Wang, S Chung… - 2019 IEEE Signal …, 2019 - ieeexplore.ieee.org
Mild Traumatic Brain Injury (mTBI) is a significant public health problem. The most troubling
symptoms after mTBI are cognitive complaints. Studies show measurable differences …

MK-curve-Characterizing the relation between mean kurtosis and alterations in the diffusion MRI signal

F Zhang, L Ning, LJ O'Donnell, O Pasternak - NeuroImage, 2019 - Elsevier
Diffusion kurtosis imaging (DKI) is a diffusion MRI (dMRI) technique to quantify brain
microstructural properties. While DKI measures are sensitive to tissue alterations, they are …