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Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution
TLDR
The spherical deconvolution technique is proposed to improve the conditioning of the diffusion tensor model in DW-MRI data, but fails in regions containing multiple fibre orientations. Expand
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Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution
TLDR
We propose a novel method for estimating the fiber orientation distribution directly from high angular resolution diffusion-weighted MR data without the need for prior assumptions regarding the number of fiber populations present. Expand
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MRtrix: Diffusion tractography in crossing fiber regions
TLDR
We present a robust set of tools to perform tractography, using fiber orientations estimated using the validated constrained spherical deconvolution method, coupled with a probabilistic streamlines tracking algorithm. Expand
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Delay and dispersion effects in dynamic susceptibility contrast MRI: Simulations using singular value decomposition
Dynamic susceptibility contrast (DSC) MRI is now increasingly used for measuring perfusion in many different applications. The quantification of DSC data requires the measurement of the arterialExpand
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Resolving crossing fibres using constrained spherical deconvolution: Validation using diffusion-weighted imaging phantom data
TLDR
An experimental model of crossing fibres, consisting of water-filled plastic capillaries, is used to thoroughly assess three such techniques: constrained spherical deconvolution (CSD), super-resolved CSD (super-CSD) and Q-ball imaging. Expand
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Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data
TLDR
Constrained spherical deconvolution (CSD) has become one of the most widely used methods to extract white matter (WM) fibre orientation information from diffusion-weighted MRI (DW-MRI) data, overcoming the crossing fibre limitations inherent in diffusion tensor model. Expand
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Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information
TLDR
We present a modular addition to streamlines tractography, which makes more effective use of the information available from anatomical image segmentation, and the known properties of the neuronal axons being reconstructed, to apply biologically realistic priors to the streamlines generated; we refer to this as "Anatomically-Constrained Tractography". Expand
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Image-selected in Vivo spectroscopy (ISIS). A new technique for spatially selective nmr spectroscopy
Abstract A method of spatial localization is described which is particularly suitable for the in vivo spectroscopic investigation of biological and medical samples. The technique overcomes most ofExpand
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Investigating white matter fibre density and morphology using fixel-based analysis
TLDR
We describe a comprehensive approach to fixel‐based analysis (FBA) of white matter. Expand
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SIFT: Spherical-deconvolution informed filtering of tractograms
TLDR
We propose a method to retrospectively improve the accuracy of these reconstructions, by selectively filtering out streamlines from the tractogram in a manner that improves the fit between the streamline reconstruction and the underlying diffusion images. Expand
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