Index Terms— Diffusion MRI
Multi Tissue Modelling of Diffusion MRI Signal Reveals Volume Fraction Bias
... Index Terms— Diffusion MRI, White Matter, Microstruc- ture, Generalized Multi Tissue Modelling ...INTRODUCTION Diffusion MRI (dMRI) is able to probe brain tissue mi- crostructure ...
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A new multi-fiber model for low angular resolution diffusion MRI
... Index Terms— diffusion MRI, non-Gaussian parametric EAP, crossing ...of diffusion magnetic resonance imaging (dMRI) is the study of the brain white matter fiber pathways into which ...
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Multi-Tissue Multi-Compartment Models of Diffusion MRI
... in terms of usability and prevents from having a single index for the volume fraction of a compartment, which intuitively should be a characteristic of the sample, not of the ...
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Incorporating transmission delays supported by diffusion MRI in MEG source reconstruction
... Index Terms— MEG, source localization, inverse prob- lems, diffusion MRI 1. INTRODUCTION Integration of structural brain imaging modalities such as dif- fusion magnetic resonance imaging ...
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MEM-diffusion MRI framework to solve MEEG inverse problem
... Index Terms— MEG, EEG, dMRI, source reconstruc- tion, parcellation, MEM. 1. INTRODUCTION Magneto and electroencephalography (MEEG) are non- invasive modalities which provide an insight on the temporal ...
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Diffusion MRI Tractography Filtering Techniques Change the Topology of Structural Connectomes
... 3T MRI system and preprocessed with the minimal preprocessing pipeline for the Human Connectome Project, which includs EPI distortion correction via FSL’s topup [38, 39] and eddy current and subject motion ...
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Towards the assessment of myelination using time-dependent diffusion MRI indices
... diffusion MRI indices or qτ-indices to demyelination in the mouse ...each index gives fitting coefficients α and β whose variance we ...mainly index coefficient β by introducing inequality of variances ...
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Multi-Spherical Diffusion MRI: Exploring Diffusion Time Using Signal Sparsity
... evaluated diffusion time the basis reduces to MAP, which allows us to calculate all of its previously proposed indices [12, ...As diffusion time increases, spins get more time to diffusive, so MSD increases ...
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A Bayes Hilbert Space for Compartment Model Computing in Diffusion MRI
... single diffusion tensor model for mapping the brain white matter microstructure has long been criticized as providing sen- sitive yet non-specific clinical biomarkers for neurodegenerative diseases because (i) ...
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Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes
... la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou ...
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Analytical and numerical study of the apparent diffusion coefficient in diffusion MRI at long diffusion times and low b-values
... the diffusion behavior of the two-compartment model as the thickness of the membrane layer goes to 0 if we replace the membrane layer by an infinitely thin interface with permeability = D m /h, ...
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Diffusion Microscopist Simulator - The Development and Application of a Monte Carlo Simulation System for Diffusion MRI
... de diffusion (IRMd) a fait une perc´ ee significative dans les troubles neurologiques et les recherches sur le cerveau grˆ ace ` a son extraordinaire sensibilit´ e ` a la cytoarchitecture des ...de ...
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Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes
... via Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) usually discard the signal’s phase, assuming symmetry in the underlying diffusion ...
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Numerical investigations of some mathematical models of the diffusion MRI signal
... 4.7. Conclusions and further improvements 4.7 Conclusions and further improvements Our analysis of the parameters estimation problem in the previous sections has re- vealed advantages and limitations of this approach. ...
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Model-free and Analytical EAP Reconstruction via Spherical Polar Fourier Diffusion MRI
... the diffusion Ensemble Average Propagator (EAP) from the DWI signals in q-space is an open problem in diffusion MRI ...the diffusion process which reflects the complex tissue ...
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Comparison of Biomarkers in Transgenic Alzheimer Rats Using Multi-shell Diffusion MRI
... than DTI [4]. This reinforces the importance of exploring white matter models that provide more detailed microstructural information than DTI. In human studies, it is hard to relate dMRI derived metrics to corresponding ...
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Multi-compartment modelling of diffusion MRI signal shows TE-based volume fraction bias
... Diffusion MRI (dMRI) has been widely used to estimate brain tissue microstructure in-vivo. Two of the most widely used microstructural indices are the white matter (WM) and intra-cellular (IC) volume ...
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Inferring and comparing structural parcellations of the human brain using diffusion MRI
... ing n starting points in the cortex, then, we randomly expand each parcel on the cortex. By comparing these random parcellations between them we compute the min- imum obtainable Rand index by mere chance at each ...
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Beware of feature selection bias! Example on Alzheimer's disease classification from diffusion MRI
... la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou ...
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Superoanterior Fasciculus (SAF): Novel fiber tract revealed by diffusion MRI fiber tractography
... Traditionally, the description of white matter fiber bundles went through the following course: tremendous amount of invasive evidence, for example histology (Dejerine and Dejerine-Klumpke, 1895) and dissection (Ludwig ...
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