Quantitative magnetic resonance imaging of brain anatomy and in vivo histology

N Weiskopf, LJ Edwards, G Helms… - Nature Reviews …, 2021 - nature.com
Quantitative magnetic resonance imaging (qMRI) goes beyond conventional MRI, which
aims primarily at local image contrast. It provides specific physical parameters related to the …

Map** the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact

Q Fan, C Eichner, M Afzali, L Mueller, CMW Tax… - Neuroimage, 2022 - Elsevier
Tremendous efforts have been made in the last decade to advance cutting-edge MRI
technology in pursuit of map** structural connectivity in the living human brain with …

A transfer learning approach to few-shot segmentation of novel white matter tracts

Q Lu, W Liu, Z Zhuo, Y Li, Y Duan, P Yu, L Qu… - Medical Image …, 2022 - Elsevier
Convolutional neural networks (CNNs) have achieved state-of-the-art performance for white
matter (WM) tract segmentation based on diffusion magnetic resonance imaging (dMRI). The …

One-shot segmentation of novel white matter tracts via extensive data augmentation and adaptive knowledge transfer

W Liu, Z Zhuo, Y Liu, C Ye - Medical Image Analysis, 2023 - Elsevier
The use of convolutional neural networks (CNNs) has allowed accurate white matter (WM)
tract segmentation on diffusion magnetic resonance imaging (dMRI). To train the CNN …

Diffusion MRI with pulsed and free gradient waveforms: effects of restricted diffusion and exchange

A Chakwizira, CF Westin, J Brabec, S Lasič… - NMR in …, 2023 - Wiley Online Library
Monitoring time dependence with diffusion MRI yields observables sensitive to compartment
sizes (restricted diffusion) and membrane permeability (water exchange). However …

[HTML][HTML] Volumetric segmentation of white matter tracts with label embedding

W Liu, Q Lu, Z Zhuo, Y Li, Y Duan, P Yu, L Qu, C Ye… - Neuroimage, 2022 - Elsevier
Convolutional neural networks have achieved state-of-the-art performance for white matter
(WM) tract segmentation based on diffusion magnetic resonance imaging (dMRI). However …

[HTML][HTML] Axial and radial axonal diffusivities and radii from single encoding strongly diffusion-weighted MRI

M Pizzolato, EJ Canales-Rodríguez, M Andersson… - Medical Image …, 2023 - Elsevier
We enable the estimation of the per-axon axial diffusivity from single encoding, strongly
diffusion-weighted, pulsed gradient spin echo data. Additionally, we improve the estimation …

Map** 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 …

In vivo disentanglement of diffusion frequency‐dependence, tensor shape, and relaxation using multidimensional MRI

JTE Johnson, MO Irfanoglu, E Manninen… - Human Brain …, 2024 - Wiley Online Library
Diffusion MRI with free gradient waveforms, combined with simultaneous relaxation
encoding, referred to as multidimensional MRI (MD‐MRI), offers microstructural specificity in …

Computer study of metric perturbations im**ing on coupled axon tracts

A Chawla, SD Morgera - bioRxiv, 2022 - biorxiv.org
Metric perturbations are deviations from a homogeneous spacetime background. In this
paper, the authors extend an earlier investigation by using high precision computer …