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 …
PANDA: a pipeline toolbox for analyzing brain diffusion images
Diffusion magnetic resonance imaging (dMRI) is widely used in both scientific research and
clinical practice in in-vivo studies of the human brain. While a number of post-processing …
clinical practice in in-vivo studies of the human brain. While a number of post-processing …
Pushing the limits of in vivo diffusion MRI for the Human Connectome Project
K Setsompop, R Kimmlingen, E Eberlein, T Witzel… - Neuroimage, 2013 - Elsevier
Perhaps more than any other “-omics” endeavor, the accuracy and level of detail obtained
from mapping the major connection pathways in the living human brain with diffusion MRI …
from mapping the major connection pathways in the living human brain with diffusion MRI …
[图书][B] Computational Diffusion MRI: MICCAI Workshop, Boston, MA, USA, September 2014
This book contains papers presented at the 2014 MICCAI Workshop on Computational
Diffusion MRI, CDMRI'14. Detailing new computational methods applied to diffusion …
Diffusion MRI, CDMRI'14. Detailing new computational methods applied to diffusion …
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 …
Diffusion‐weighted imaging outside the brain: consensus statement from an ISMRM‐sponsored workshop
The significant advances in magnetic resonance imaging (MRI) hardware and software,
sequence design, and postprocessing methods have made diffusion‐weighted imaging …
sequence design, and postprocessing methods have made diffusion‐weighted imaging …
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?
Diffusion magnetic resonance imaging (dMRI) is the modality of choice for investigating in-
vivo white matter connectivity and neural tissue architecture of the brain. The diffusion …
vivo white matter connectivity and neural tissue architecture of the brain. The diffusion …
Ex vivo diffusion MRI of the human brain: Technical challenges and recent advances
This review discusses ex vivo diffusion magnetic resonance imaging (dMRI) as an important
research tool for neuroanatomical investigations and the validation of in vivo dMRI …
research tool for neuroanatomical investigations and the validation of in vivo dMRI …
SlicerDMRI: open source diffusion MRI software for brain cancer research
Diffusion MRI (dMRI) is the only noninvasive method for mapping white matter connections
in the brain. We describe SlicerDMRI, a software suite that enables visualization and …
in the brain. We describe SlicerDMRI, a software suite that enables visualization and …
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 …