Parameter estimation for WMTI‐Watson model of white matter using encoder–decoder recurrent neural network

Y Diao, I Jelescu - Magnetic Resonance in Medicine, 2023 - Wiley Online Library
Purpose Biophysical modeling of the diffusion MRI (dMRI) signal provides estimates of
specific microstructural tissue properties. Although non‐linear least squares (NLLS) is the …

Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics

S Schiavi, M Palombo, D Zacà, F Tazza… - Human Brain …, 2023 - Wiley Online Library
Soma and neurite density image (SANDI) is an advanced diffusion magnetic resonance
imaging biophysical signal model devised to probe in vivo microstructural information in the …

Neurite orientation dispersion and density imaging of white matter microstructure in sensory processing dysfunction with versus without comorbid ADHD

IT Mark, J Wren-Jarvis, J Xiao, LT Cai… - Frontiers in …, 2023 - frontiersin.org
Introduction Sensory Processing Dysfunction (SPD) is common yet understudied, affecting
up to one in six children with 40% experiencing co-occurring challenges with attention. The …

Cerebral microstructural alterations in Post-COVID-condition are related to cognitive impairment, olfactory dysfunction and fatigue

JA Hosp, M Reisert, A Dressing, V Götz… - Nature …, 2024 - nature.com
After contracting COVID-19, a substantial number of individuals develop a Post-COVID-
Condition, marked by neurologic symptoms such as cognitive deficits, olfactory dysfunction …

A simulation-driven supervised learning framework to estimate brain microstructure using diffusion MRI

C Fang, Z Yang, D Wassermann, JR Li - Medical Image Analysis, 2023 - Elsevier
We propose a framework to train supervised learning models on synthetic data to estimate
brain microstructure parameters using diffusion magnetic resonance imaging (dMRI) …

Acid: a comprehensive toolbox for image processing and modeling of brain, spinal cord, and ex vivo diffusion MRI data

G David, B Fricke, JM Oeschger, L Ruthotto… - Imaging …, 2024 - direct.mit.edu
Diffusion MRI (dMRI) has become a crucial imaging technique in the field of neuroscience,
with a growing number of clinical applications. Although most studies still focus on the brain …

Insights and improvements in correspondence between axonal volume fraction measured with diffusion‐weighted MRI and electron microscopy

S Papazoglou, M Ashtarayeh, JM Oeschger… - NMR in …, 2024 - Wiley Online Library
Biophysical diffusion‐weighted imaging (DWI) models are increasingly used in
neuroscience to estimate the axonal water fraction (f AW), which in turn is key for …

Mapping brain microstructure in vivo in health and disease using diffusion mri

Y Liao, S Coelho, J Chen, B Ades-Aron, M Pang… - arXiv preprint arXiv …, 2023 - arxiv.org
Diffusion magnetic resonance imaging offers unique in vivo sensitivity to tissue
microstructure in brain white matter, which undergoes significant changes during …

[HTML][HTML] Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning

Á Planchuelo-Gómez, M Descoteaux, H Larochelle… - Medical Image …, 2024 - Elsevier
Diffusion-relaxation MRI aims to extract quantitative measures that characterise
microstructural tissue properties such as orientation, size, and shape, but long acquisition …

Unique information from common diffusion MRI models about white-matter differences across the human adult lifespan

RN Henriques, R Henson, Cam-CAN… - Imaging …, 2023 - direct.mit.edu
Abstract Diffusion Magnetic Resonance Imaging (dMRI) is sensitive to white matter
microstructural changes across the human lifespan. Several models have been proposed to …