Journal ArticleDOI
Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution.
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TLDR
The introduction of a constraint on such negative regions is proposed to improve the conditioning of the spherical deconvolution, and this approach is shown to provide FOD estimates that are robust to noise whilst preserving angular resolution.About:
This article is published in NeuroImage.The article was published on 2007-05-01. It has received 1954 citations till now. The article focuses on the topics: Deconvolution & Orientation (computer vision).read more
Citations
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White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
TL;DR: The physics of DW-MRI is reviewed, currently preferred methodology is indicated, and the limits of interpretation of its results are explained, with a list of 'Do's and Don'ts' which define good practice in this expanding area of imaging neuroscience.
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MRtrix: Diffusion tractography in crossing fiber regions
TL;DR: This methodology is shown to provide superior delineations of a number of known white matter tracts, in a manner robust to crossing fiber effects, and has been compiled into a software package, called MRtrix, which has been made freely available for use by the scientific community.
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MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation
Jacques-Donald Tournier,Robert E. Smith,Robert E. Smith,David Raffelt,Rami Tabbara,Thijs Dhollander,Thijs Dhollander,Maximilian Pietsch,Daan Christiaens,Ben Jeurissen,Chun-Hung Yeh,Chun-Hung Yeh,Alan Connelly,Alan Connelly +13 more
TL;DR: A high-level overview of the features of the MRtrix3 framework and general-purpose image processing applications provided with the software is provided.
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Denoising of diffusion MRI using random matrix theory
Jelle Veraart,Dmitry S. Novikov,Daan Christiaens,Benjamin Ades-Aron,Jan Sijbers,Els Fieremans +5 more
TL;DR: A post-processing technique for fast denoising of diffusion-weighted MR images is introduced and it is demonstrated that the technique suppresses local signal fluctuations that solely originate from thermal noise rather than from other sources such as anatomical detail.
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Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data
TL;DR: The aim of this study is to incorporate support for multi-shell data into the CSD approach as well as to exploit the unique b-value dependencies of the different tissue types to estimate a multi-tissue ODF.
References
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Journal ArticleDOI
MR diffusion tensor spectroscopy and imaging.
TL;DR: Once Deff is estimated from a series of NMR pulsed-gradient, spin-echo experiments, a tissue's three orthotropic axes can be determined and the effective diffusivities along these orthotropic directions are the eigenvalues of Deff.
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Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging.
TL;DR: It is shown that neuronal pathways in the rat brain can be probed in situ using high‐resolution three‐dimensional diffusion magnetic resonance imaging and a newly designed tracking approach.
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Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
TL;DR: It is shown that multi-fibre tractography offers significant advantages in sensitivity when tracking non-dominant fibre populations, but does not dramatically change tractography results for the dominant pathways.
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Characterization and propagation of uncertainty in diffusion-weighted MR imaging.
Timothy E.J. Behrens,Mark W. Woolrich,Mi Jenkinson,Heidi Johansen-Berg,Rita G. Nunes,Stuart Clare,Paul M. Matthews,J M Brady,Stephen M. Smith +8 more
TL;DR: A fully probabilistic framework is presented for estimating local probability density functions on parameters of interest in a model of diffusion, allowing for the quantification of belief in tractography results and the estimation of the cortical connectivity of the human thalamus.
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Q‐ball imaging
TL;DR: This work has shown that it is possible to resolve intravoxel fiber crossing using mixture model decomposition of the high angular resolution diffusion imaging (HARDI) signal, but mixture modeling requires a model of the underlying diffusion process.