[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 …
Advances in MRI-based computational neuroanatomy: from morphometry to in-vivo histology
Non-invasive brain tissue characterization using qMRI or hMRI has significant implications
for both research and clinics. Both approaches improve comparability across sites and time …
for both research and clinics. Both approaches improve comparability across sites and time …
Whole-Brain In-vivo Measurements of the Axonal G-Ratio in a Group of 37 Healthy Volunteers
The g-ratio, quantifying the ratio between the inner and outer diameters of a fiber, is an
important microstructural characteristic of fiber pathways and is functionally related to …
important microstructural characteristic of fiber pathways and is functionally related to …
[图书][B] Handbook of neuroimaging data analysis
This book explores various state-of-the-art aspects behind the statistical analysis of
neuroimaging data. It examines the development of novel statistical approaches to model …
neuroimaging data. It examines the development of novel statistical approaches to model …
Non Local Spatial and Angular Matching: Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising
Diffusion magnetic resonance imaging (MRI) datasets suffer from low Signal-to-Noise Ratio
(SNR), especially at high b-values. Acquiring data at high b-values contains relevant …
(SNR), especially at high b-values. Acquiring data at high b-values contains relevant …
White matter abnormalities in multiple sclerosis evaluated by quantitative synthetic MRI, diffusion tensor imaging, and neurite orientation dispersion and density …
BACKGROUND AND PURPOSE: A number of MR-derived quantitative metrics have been
suggested to assess the pathophysiology of MS, but the reports about combined analyses of …
suggested to assess the pathophysiology of MS, but the reports about combined analyses of …
[HTML][HTML] Microstructural white matter abnormalities in multiple sclerosis and neuromyelitis optica spectrum disorders: Evaluation by advanced diffusion imaging
S Kato, A Hagiwara, K Yokoyama, C Andica… - Journal of the …, 2022 - Elsevier
Introduction Despite differences in the pathogenesis and treatment of multiple sclerosis (MS)
and neuromyelitis optica spectrum disorders (NMOSD), it remains difficult to distinguish …
and neuromyelitis optica spectrum disorders (NMOSD), it remains difficult to distinguish …
Analysis of white matter damage in patients with multiple sclerosis via a novel in vivo MR method for measuring myelin, axons, and g-ratio
A Hagiwara, M Hori, K Yokoyama… - American Journal …, 2017 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Myelin and axon volume fractions can now be estimated
via MR imaging in vivo, as can the g-ratio, which equals the ratio of the inner to the outer …
via MR imaging in vivo, as can the g-ratio, which equals the ratio of the inner to the outer …
[HTML][HTML] Denoise magnitude diffusion magnetic resonance images via variance-stabilizing transformation and optimal singular-value manipulation
Although shown to have a great utility for a wide range of neuroscientific and clinical
applications, diffusion-weighted magnetic resonance imaging (dMRI) faces a major …
applications, diffusion-weighted magnetic resonance imaging (dMRI) faces a major …
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI
Inferring brain connectivity and structure in-vivo requires accurate estimation of the
orientation distribution function (ODF), which encodes key local tissue properties. However …
orientation distribution function (ODF), which encodes key local tissue properties. However …