[HTML][HTML] What's new and what's next in diffusion MRI preprocessing

CMW Tax, M Bastiani, J Veraart, E Garyfallidis… - NeuroImage, 2022 - Elsevier
Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …

[HTML][HTML] Diffusion MRI of white matter microstructure development in childhood and adolescence: Methods, challenges and progress

CK Tamnes, DR Roalf, AL Goddings, C Lebel - Developmental cognitive …, 2018 - Elsevier
Diffusion magnetic resonance imaging (dMRI) continues to grow in popularity as a useful
neuroimaging method to study brain development, and longitudinal studies that track the …

The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohort

DR Roalf, M Quarmley, MA Elliott, TD Satterthwaite… - Neuroimage, 2016 - Elsevier
Background Diffusion tensor imaging (DTI) is applied in investigation of brain biomarkers for
neurodevelopmental and neurodegenerative disorders. However, the quality of DTI …

Shape and diffusion tensor imaging based integrative analysis of the hippocampus and the amygdala in Alzheimer's disease

X Tang, Y Qin, J Wu, M Zhang, W Zhu… - Magnetic resonance …, 2016 - Elsevier
We analyzed, in an integrative fashion, the morphometry and structural integrity of the
bilateral hippocampi and amygdalas in Alzheimer's disease (AD) using T1-weighted images …

The LONI QC system: a semi-automated, web-based and freely-available environment for the comprehensive quality control of neuroimaging data

H Kim, A Irimia, SM Hobel, M Pogosyan… - Frontiers in …, 2019 - frontiersin.org
Quantifying, controlling, and monitoring image quality is an essential prerequisite for
ensuring the validity and reproducibility of many types of neuroimaging data analyses …

Fast and accurate Slicewise OutLIer Detection (SOLID) with informed model estimation for diffusion MRI data

V Sairanen, A Leemans, CMW Tax - Neuroimage, 2018 - Elsevier
The accurate characterization of the diffusion process in tissue using diffusion MRI is greatly
challenged by the presence of artefacts. Subject motion causes not only spatial …

Sex-specific alterations of white matter developmental trajectories in infants with prenatal exposure to methamphetamine and tobacco

L Chang, K Oishi, J Skranes, S Buchthal… - JAMA …, 2016 - jamanetwork.com
Importance Methamphetamine is a common illicit drug used worldwide. Methamphetamine
and/or tobacco use by pregnant women remains prevalent. However, little is known about …

Brain multi-contrast, multi-atlas segmentation of diffusion tensor imaging and ensemble learning automatically diagnose late-life depression

K Siarkos, E Karavasilis, G Velonakis… - Scientific Reports, 2023 - nature.com
We investigated the potential of machine learning for diagnostic classification in late-life
major depression based on an advanced whole brain white matter segmentation framework …

Superficial and deep white matter diffusion abnormalities in focal epilepsies

H Urquia‐Osorio, LR Pimentel‐Silva, TJR Rezende… - …, 2022 - Wiley Online Library
Objective This study was undertaken to evaluate superficial‐white matter (WM) and deep‐
WM magnetic resonance imaging diffusion tensor imaging (DTI) metrics and identify …

Motion-robust diffusion-weighted brain MRI reconstruction through slice-level registration-based motion tracking

B Marami, B Scherrer, O Afacan, B Erem… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This work proposes a novel approach for motion-robust diffusion-weighted (DW) brain MRI
reconstruction through tracking temporal head motion using slice-to-volume registration. The …