[HTML][HTML] What's new and what's next in diffusion MRI preprocessing
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 …
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
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 …
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 …
symptom progression in Parkinson's disease, but the underlying neural mechanisms are …
Denoising of diffusion MRI using random matrix theory
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 …
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 …
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
We propose a patch-based singular value shrinkage method for diffusion magnetic
resonance image estimation targeted at low signal to noise ratio and accelerated …
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 …
quantifying microstructure and reconstructing white-matter pathways in the living human …
Post-acute blood biomarkers and disease progression in traumatic brain injury
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 …
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
Background Diffusion imaging holds great potential for the non‐invasive assessment of the
glymphatic system in humans. One technique, diffusion tensor imaging along 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
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 …
range of neuroscientific and clinical applications. However, high-resolution dMRI, which is …