Haut PDF New ODE Model for Diffusion MRI Signal
New ODE Model for Diffusion MRI Signal
... 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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A new multi-fiber model for low angular resolution diffusion MRI
... the model The crossing angle resolution (CAR) is the minimum de- tectable angle between two different ...2-fiber model (M = 2) using synthetic data on a single ...restricted diffusion within a ...
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A Unifying Framework for Spatial and Temporal Diffusion in Diffusion MRI
... (b) Signal Optic Nerve (c) Signal Sciatic Nerve ...Callaghan model. 3.2 Signal fitting and Effect of Regularization In our first experiment we test how many spatial or temporal basis functions ...
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Diffusion MRI Anisotropy: Modeling, Analysis and Interpretation
... those for FA are missing. Moreover, the typical criterium for being a biomarker is that the measure of inter- est should provide a statistically significant difference between healthy and diseased ...as ...
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Multi-Dimensional Diffusion MRI Sampling Scheme: B-tensor Design and Accurate Signal Reconstruction
... algorithm for representing and reconstructing the axisymmetric b-tensor encoded diffusion ...the signal to inform how many and which b-tensors should be used, thereby providing sampling ...DIAMOND ...
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Multi-compartment modelling of diffusion MRI signal shows TE-based volume fraction bias
... The signal S is defined as the linear combination of the IC, EC and CSF compartments, where the anisotropic components IC and EC are convolved with a Watson distribution W of parameters d and ...The signal ...
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Model-free and Analytical EAP Reconstruction via Spherical Polar Fourier Diffusion MRI
... 1 for any u ∈ S 2 , which makes our estimation more reasonable and ...warranty for the estimated signal ˜ E(0) = 1. Another advantage is that for the single shell HARDI data, considering b = 0 ...
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Coarse-Grained Spatiotemporal Acquisition Design for Diffusion MRI
... dependent diffusion data using our Python-based [9] im- plementation of the two-compartment model with the intra- cellular fraction modeled with a set of Watson dispersed crossing cylinders [10] and the ...
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A Bayes Hilbert Space for Compartment Model Computing in Diffusion MRI
... in diffusion MRI, it has been shown that the ST model is an average of several diffusion processes arising from multiple populations of tissues in the voxel, ultimately leading to an ...
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A new multi-directional fiber model for low angular resolution diffusion imaging
... 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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Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes
... we model the compressed axon as a sinusoid with varying tortuosity, inducing asymmetry in its ...asymmetric diffusion process re- sulting in an informative DW signal’s phase, sensible to increasing ...
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Diffusion Microscopist Simulator - The Development and Application of a Monte Carlo Simulation System for Diffusion MRI
... criteria for improving the modeling and the ...between MRI signal and tissue microscopic characteris- ...biophysical model for beading axonal membranes, which was validated by the ...
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The role of diffusion MRI in neuroscience
... behaviour. For instance, language areas and their interconnections are predominantly represented in the left hemisphere for most but not all healthy participants 203,204 ...consideration for the ...
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A 4D Basis and Sampling Scheme for the Tensor Encoded Multi-Dimensional Diffusion MRI Signal
... proposed for recovering the DTD from b-tensor encoded measurements of the diffusion signal [ 7 ]–[ 10 ], only recently some consideration has been given to designing the b-tensor sampling scheme [ 11 ...
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Multi-Tissue Multi-Compartment Models of Diffusion MRI
... Keywords diffusion MRI, microstructure, multi tissue, single-TE, volume fraction, signal fraction 1 Introduction Diffusion MRI (dMRI) is an imaging technique that allows to inspect the ...
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Numerical investigations of some mathematical models of the diffusion MRI signal
... parameters for “simple” tissues composed of not too elongated ...apparent diffusion coefficient in the extra-cellular space, and the residence time which is related to the membrane permeability and surface- ...
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Numerical study of a macroscopic finite pulse model of the diffusion MRI signal
... verify, for example, even when considering a reasonable geometrical model of brain tissue such as a voxel-sized domain containing densely packed dendrite trees and cylindrical axons with some orientation ...
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Homogenized and analytical models for the diffusion MRI signal
... Irene for showing me that you have always a reason to be in a good mood; Shixu for showing me that there exist people who have never seen a musical; and finally Jake who is a very good friend (I am sorry I ...
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Multi Tissue Modelling of Diffusion MRI Signal Reveals Volume Fraction Bias
... Terms— Diffusion MRI, White Matter, Microstruc- ture, Generalized Multi Tissue Modelling ...INTRODUCTION Diffusion MRI (dMRI) is able to probe brain tissue mi- crostructure in-vivo ...of ...
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Diffusion MRI Simulation with the Virtual Imaging Platform
... used for evaluating diffusion image processing algorithms, such as denoising, k-space reconstruction, and motion ...parameters for high-b value imaging and q-space ...from MRI cine sequences ...
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