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Isotropic non-white matter partial volume effects in constrained spherical deconvolution
2014
Frontiers in Neuroinformatics
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In this work, we investigated the isotropic PVEs caused by non-WM tissue in WM voxels on fiber orientations extracted with constrained spherical deconvolution (CSD). ...
Significant partial volume effects (PVEs) are present in the DW signal due to relatively large voxel sizes. ...
Diffusion in white matter (WM) neural tracts is anisotropic: it is larger parallel to the tract than in the perpendicular direction. ...
doi:10.3389/fninf.2014.00028
pmid:24734018
pmcid:PMC3975100
fatcat:nuebjjw45jarhns7ztxoqxqury
Convexity-constrained and nonnegativity-constrained spherical factorization in diffusion-weighted imaging
2017
NeuroImage
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In healthy human brain data, the resulting components are associated with white matter fibres, grey matter, and cerebrospinal fluid. ...
In this work, we generalize multi-tissue spherical deconvolution to a blind source separation problem under convexity and nonnegativity constraints. ...
The left column originates from a voxel with 50% WM-GM partial volume effect (PVE). ...
doi:10.1016/j.neuroimage.2016.10.040
pmid:27989845
pmcid:PMC5543413
fatcat:4uae2epuwve5dc44c7gklo26zi
Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data
2020
NeuroImage
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white matter. ...
beyond white matter. ...
10 to perform robust spherical deconvolution on single-shell diffusion MRI data while suppressing 11 spurious FOD peaks due to noise or partial volume effects. ...
doi:10.1016/j.neuroimage.2020.116948
pmid:32428705
fatcat:sbb3aqmzfzb5tlpxm66shl3zeu
Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data
[article]
2020
arXiv
pre-print
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In comparison to dRL, GRL provides sharper FODs and less spurious peaks in presence of partial volume effects and results in a better tract termination at the grey/white matter interface or at the outer ...
The optimal weighting of multi-shell data in the fit and the robustness to noise and partial volume effects of GRL was studied with synthetic data. ...
for isotropic contaminations of cerebrospinal fluid in spherical deconvolution. ...
arXiv:1910.05372v3
fatcat:yb6o33xpqncjpa6bgqngqtebp4
Convex Non-negative Spherical Factorization of Multi-Shell Diffusion-Weighted Images
[chapter]
2015
Lecture Notes in Computer Science
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Diffusion-weighted imaging (DWI) allows to probe tissue microstructure non-invasively and study healthy and diseased white matter (WM) in vivo. ...
Here, we introduce a fully data-driven approach to spherical deconvolution, based on convex non-negative matrix factorization. ...
Additionally, the presence of partial volume effects (PVE), originating from adjacent grey matter (GM) and cerebrospinal fluid (CSF), has been shown to affect SD [7] . ...
doi:10.1007/978-3-319-24553-9_21
fatcat:32b3utncvvep7alciiylyklnbq
Spherical deconvolution with tissue-specific response functions and multi-shell diffusion MRI to estimate multiple fiber orientation distributions (mFODs)
[article]
2019
bioRxiv
pre-print
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In contrast, spherical deconvolution typically produces suboptimal results in grey matter (GM). ...
In diffusion MRI, spherical deconvolution approaches can resolve local white matter (WM) fiber orientation distributions (FOD) to produce state-of-the-art fiber tractography reconstructions. ...
Indeed, the results of simulations, shown in Fig. 1 and Fig. 2 , suggest that this approach allows to effectively disentangle the partial volume effects between mixtures of isotropic (n=1) and anisotropic ...
doi:10.1101/739136
fatcat:4x4mijdwcjbbpktnqvmhqyn3ym
Microstructural correlates of 23Na relaxation in human brain at 7 Tesla
2020
NeuroImage
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White matter (restricted anisotropic diffusion) and grey matter (restricted isotropic diffusion) density were calculated from multi-shell multi-tissue constrained spherical deconvolution. ...
We conclude that sodium T2∗ relaxation parameters are not greatly influenced by relative differences in intra- and extracellular partial volumes. ...
White matter (restricted anisotropic diffusion) and grey matter (restricted isotropic diffusion) density were calculated from multi-shell multi-tissue constrained spherical deconvolution. ...
doi:10.1016/j.neuroimage.2020.116609
pmid:32044439
fatcat:ngqfnyqbjnfiza6nvzavvqoiza
Modelling white matter with spherical deconvolution: How and why?
2018
NMR in Biomedicine
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way to describe the complexity of white matter organization within each brain voxel. ...
Among several techniques, spherical deconvolution has emerged today as one of the main approaches to model multiple fibre orientations and for tractography applications. ...
In practice, the dRL-SD algorithm is very effective in suppressing spurious fODF lobes or reducing ringing effects to negligible amplitudes in the presence of partial volume with isotropic or pathological ...
doi:10.1002/nbm.3945
pmid:30113753
fatcat:ozoc2z4spvappafb5nld4gqtya
Sparse Solution of Fiber Orientation Distribution Function by Diffusion Decomposition
2013
PLoS ONE
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The simulation study showed that diffusion decomposition was more accurate than both constrained spherical deconvolution and ball-and-sticks model. ...
The phantom study showed that the angular error of diffusion decomposition was significantly lower than those of constrained spherical deconvolution at 30u crossing and ball-and-sticks model at 60u crossing ...
Kuan-Hung Cho for providing the phantom data and technical assistance in the image acquisition.
Author Contributions ...
doi:10.1371/journal.pone.0075747
pmid:24146772
pmcid:PMC3795723
fatcat:cpejls75bjb2xoivfjfpcgkvpe
Spherical deconvolution with tissue-specific response functions and multi-shell diffusion MRI to estimate multiple fiber orientation distributions (mFODs)
2020
NeuroImage
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In diffusion MRI, spherical deconvolution approaches can estimate local white matter (WM) fiber orientation distributions (FOD) which can be used to produce fiber tractography reconstructions. ...
The performance of our method is compared to the current state of the art, multi-shell constrained spherical deconvolution (MSCSD). ...
Multi-tissue spherical deconvolution approaches have been suggested to further increase the accuracy of FOD reconstructions in WM by accounting for partial volume effects, e.g. in spatial locations where ...
doi:10.1016/j.neuroimage.2020.117206
pmid:32745681
fatcat:enpc2pvrlndt3ev2ttasq7jxy4
Learning a Reliable Estimate of the Number of Fiber Directions in Diffusion MRI
[chapter]
2012
Lecture Notes in Computer Science
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When combined with the ball-and-stick model, it produces directional estimates comparable to constrained spherical deconvolution, but with significantly smaller variance between re-scans, and at a reduced ...
The method is shown to result in plausible and reproducible decisions on three repeated scans of the same subject. ...
The strong spurious peaks that arise in two out of the three single-fiber cases (a) are a known problem of deconvolution, particularly in the presence of partial voluming with isotropic compartments [ ...
doi:10.1007/978-3-642-33454-2_61
fatcat:jho7dxi5yzdgjjcirzf53mfq4e
Linking spherical mean diffusion weighted signal with intra-axonal volume fraction
2019
Magnetic Resonance Imaging
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At high b-values (b ≥ 3000 s/mm2), S¯ is linearly related to Vin, and S¯ provides similar contrast with Vin in white matter. ...
However, the conventional diffusion tensor imaging (DTI) is inadequate for characterizing fiber direction or fiber density in voxels with crossing fibers in brain white matter. ...
Another difference between AFD total ms and AFD total ss is that AFD total ms is based on a multi-tissue model which is less sensitive to partial volume effects at gray matter/white matter interface [ ...
doi:10.1016/j.mri.2018.11.006
pmid:30439515
pmcid:PMC6331230
fatcat:zvl44m5kijb3rijhobbmsb6yte
A Novel Richardson-Lucy Model with Dictionary Basis and Spatial Regularization for Isolating Isotropic Signals
2017
PLoS ONE
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Partial volume effects (PVEs) exist in sampling signal for many physical and actual reasons, which lead to inaccurate fiber imaging. ...
We then put forward a new index P iso , which is a part of fODF to quantify white and gray matter. ...
Only diffusion-weighted MRI (DW-MRI) can provide a unique, non-invasive technique to study the microscopic structure of brain white matter (WM) in vivo [2] [3] [4] . ...
doi:10.1371/journal.pone.0168864
pmid:28081561
pmcid:PMC5233428
fatcat:hsmfpo4h4fgz5b3qtb6ys5frua
Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI
2012
NeuroImage
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white matter regions. ...
We also perform a qualitative comparison between our parametric approach and five popular non-parametric techniques that are based on orientation distribution functions (ODFs). ...
Furthermore, Dr Donald Tournier and Dr Kiran Seunarine for assisting us with the Mrtrix spherical deconvolution and the Camino PASMRI implementations, respectively. ...
doi:10.1016/j.neuroimage.2012.01.056
pmid:22270351
pmcid:PMC3304013
fatcat:oyb5aluexjcu7mggak2g373mie
White matter organization in developmental coordination disorder: A pilot study exploring the added value of constrained spherical deconvolution
2019
NeuroImage: Clinical
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In response to limitations of the commonly adopted DTI approach, the present study employed a framework that can reconcile the 'crossing fibre' problem (i.e., constrained spherical deconvolution- CSD) ...
trend for decreased tract volume of the right SLF (with medium-large effect size, Cohen's d = 0.73). ...
NOTE: CST-corticospinal tract; CSD-constrained spherical deconvolution; DTI-diffusion tensor imaging.C.Hyde et al. ...
doi:10.1016/j.nicl.2018.101625
pmid:30552074
pmcid:PMC6411781
fatcat:ll7mibnxa5aslfgol3ntly6w64
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