Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis
Quantitative MRI provides biophysical measures of the microstructural integrity of the CNS,
which can be compared across CNS regions, patients, and centres. In patients with multiple …
which can be compared across CNS regions, patients, and centres. In patients with multiple …
On modeling
DS Novikov, VG Kiselev… - Magnetic resonance in …, 2018 - Wiley Online Library
Mapping tissue microstructure with MRI holds great promise as a noninvasive window into
tissue organization at the cellular level. Having originated within the realm of diffusion NMR …
tissue organization at the cellular level. Having originated within the realm of diffusion NMR …
QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data
Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for
noninvasively studying the organization of white matter in the human brain. Here we …
noninvasively studying the organization of white matter in the human brain. Here we …
Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation
We review, systematize and discuss models of diffusion in neuronal tissue, by putting them
into an overarching physical context of coarse‐graining over an increasing diffusion length …
into an overarching physical context of coarse‐graining over an increasing diffusion length …
Imaging brain microstructure with diffusion MRI: practicality and applications
This article gives an overview of microstructure imaging of the brain with diffusion MRI and
reviews the state of the art. The microstructure‐imaging paradigm aims to estimate and map …
reviews the state of the art. The microstructure‐imaging paradigm aims to estimate and map …
Dipy, a library for the analysis of diffusion MRI data
E Garyfallidis, M Brett, B Amirbekian… - Frontiers in …, 2014 - frontiersin.org
Diffusion Imaging in Python (Dipy) is a free and open source software project for the analysis
of data from diffusion magnetic resonance imaging (dMRI) experiments. dMRI is an …
of data from diffusion magnetic resonance imaging (dMRI) experiments. dMRI is an …
Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited
C Thomas, FQ Ye, MO Irfanoglu… - Proceedings of the …, 2014 - National Acad Sciences
Tractography based on diffusion-weighted MRI (DWI) is widely used for mapping the
structural connections of the human brain. Its accuracy is known to be limited by technical …
structural connections of the human brain. Its accuracy is known to be limited by technical …
[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] Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso-and macro …
The first phase of the Human Connectome Project pioneered advances in MRI technology
for mapping the macroscopic structural connections of the living human brain through the …
for mapping the macroscopic structural connections of the living human brain through the …
Recognition of white matter bundles using local and global streamline-based registration and clustering
Virtual dissection of diffusion MRI tractograms is cumbersome and needs extensive
knowledge of white matter anatomy. This virtual dissection often requires several inclusion …
knowledge of white matter anatomy. This virtual dissection often requires several inclusion …