[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] 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 …

Aerobic exercise alters brain function and structure in Parkinson's disease: a randomized controlled trial

ME Johansson, IGM Cameron… - Annals of …, 2022 - Wiley Online Library
Objective Randomized clinical trials have shown that aerobic exercise attenuates motor
symptom progression in Parkinson's disease, but the underlying neural mechanisms are …

Denoising of diffusion MRI using random matrix theory

J Veraart, DS Novikov, D Christiaens, B Ades-Aron… - Neuroimage, 2016 - Elsevier
We introduce and evaluate a post-processing technique for fast denoising of diffusion-
weighted MR images. By exploiting the intrinsic redundancy in diffusion MRI using universal …

Diffusion MRI noise mapping using random matrix theory

J Veraart, E Fieremans… - Magnetic resonance in …, 2016 - Wiley Online Library
Purpose To estimate the spatially varying noise map using a redundant series of magnitude
MR images. Methods We exploit redundancy in non‐Gaussian distributed multidirectional …

[HTML][HTML] Complex diffusion-weighted image estimation via matrix recovery under general noise models

L Cordero-Grande, D Christiaens, J Hutter, AN Price… - Neuroimage, 2019 - Elsevier
We propose a patch-based singular value shrinkage method for diffusion magnetic
resonance image estimation targeted at low signal to noise ratio and accelerated …

Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​

S Fadnavis, J Batson… - Advances in Neural …, 2020 - proceedings.neurips.cc
Diffusion-weighted magnetic resonance imaging (DWI) is the only non-invasive method for
quantifying microstructure and reconstructing white-matter pathways in the living human …

Post-acute blood biomarkers and disease progression in traumatic brain injury

VFJ Newcombe, NJ Ashton, JP Posti, B Glocker… - Brain, 2022 - academic.oup.com
There is substantial interest in the potential for traumatic brain injury to result in progressive
neurological deterioration. While blood biomarkers such as glial fibrillary acid protein …

Exploring radial asymmetry in MR diffusion tensor imaging and its impact on the interpretation of glymphatic mechanisms

AM Wright, YC Wu, NK Chen… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Diffusion imaging holds great potential for the non‐invasive assessment of the
glymphatic system in humans. One technique, diffusion tensor imaging along the …

[HTML][HTML] NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing

S Moeller, PK Pisharady, S Ramanna, C Lenglet, X Wu… - Neuroimage, 2021 - Elsevier
Diffusion-weighted magnetic resonance imaging (dMRI) has found great utility for a wide
range of neuroscientific and clinical applications. However, high-resolution dMRI, which is …