[HTML][HTML] Fixel-based analysis of diffusion MRI: methods, applications, challenges and opportunities
Diffusion MRI has provided the neuroimaging community with a powerful tool to acquire in-
vivo data sensitive to microstructural features of white matter, up to 3 orders of magnitude …
vivo data sensitive to microstructural features of white matter, up to 3 orders of magnitude …
[HTML][HTML] Investigating white matter fibre density and morphology using fixel-based analysis
Voxel-based analysis of diffusion MRI data is increasingly popular. However, most white
matter voxels contain contributions from multiple fibre populations (often referred to as …
matter voxels contain contributions from multiple fibre populations (often referred to as …
Computing and visualising intra‐voxel orientation‐specific relaxation–diffusion features in the human brain
JP de Almeida Martins, CMW Tax… - Human brain …, 2021 - Wiley Online Library
Diffusion MRI techniques are used widely to study the characteristics of the human brain
connectome in vivo. However, to resolve and characterise white matter (WM) fibres in …
connectome in vivo. However, to resolve and characterise white matter (WM) fibres in …
[HTML][HTML] Diffusion-weighted imaging: recent advances and applications
Quantitative diffusion imaging techniques enable the characterization of tissue
microstructural properties of the human brain “in vivo”, and are widely used in neuroscientific …
microstructural properties of the human brain “in vivo”, and are widely used in neuroscientific …
Fiber estimation and tractography in diffusion MRI: development of simulated brain images and comparison of multi-fiber analysis methods at clinical b-values
Advances in diffusion-weighted magnetic resonance imaging (DW-MRI) have led to many
alternative diffusion sampling strategies and analysis methodologies. A common objective …
alternative diffusion sampling strategies and analysis methodologies. A common objective …
Real diffusion-weighted MRI enabling true signal averaging and increased diffusion contrast
This project aims to characterize the impact of underlying noise distributions on diffusion-
weighted imaging. The noise floor is a well-known problem for traditional magnitude-based …
weighted imaging. The noise floor is a well-known problem for traditional magnitude-based …
Resolving relaxometry and diffusion properties within the same voxel in the presence of crossing fibres by combining inversion recovery and diffusion‐weighted …
S De Santis, D Barazany, DK Jones… - Magnetic resonance in …, 2016 - Wiley Online Library
Purpose A comprehensive image‐based characterization of white matter should include the
ability to quantify myelin and axonal attributes irrespective of the complexity of fibre …
ability to quantify myelin and axonal attributes irrespective of the complexity of fibre …
“MASSIVE” brain dataset: Multiple acquisitions for standardization of structural imaging validation and evaluation
Purpose In this work, we present the MASSIVE (Multiple Acquisitions for Standardization of
Structural Imaging Validation and Evaluation) brain dataset of a single healthy subject …
Structural Imaging Validation and Evaluation) brain dataset of a single healthy subject …
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 …
[HTML][HTML] Advanced diffusion MRI fiber tracking in neurosurgical and neurodegenerative disorders and neuroanatomical studies: a review
Diffusion MRI enabled in vivo microstructural imaging of the fiber tracts in the brain resulting
in its application in a wide range of settings, including in neurological and neurosurgical …
in its application in a wide range of settings, including in neurological and neurosurgical …