Elucidation of Pathology using Diffusion Tensor Metrics
Differentiation between high-grade gliomas and metastatic brain tumors using Diffusion Tensor Imaging metrics
... basic metrics that modeled diffusion anisotropy that expresses the shape of the diffusion tensor: linear anisotropy coefficient (CL) where diffusion is mainly along the direction ...
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Diffusion Tensor Imaging Mapping of Brain White Matter Pathology in Mitochondrial Optic Neuropathies
... brain diffusion changes in LHON at the level of the right superior corona radiata, superior longitudinal fasciculus, and medial corpus ...matter pathology associated with the primary mitochondrial ...
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DIFFUSION TENSOR IMAGING
... Diffusion tensor imaging can be an important part of a comprehensive neurofunctional MRI ...the elucidation of structural, functional, behavioral, and clinical ...proposed using this technique ...
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Diffusion tensor imaging and tractwise fractional anisotropy statistics: quantitative analysis in white matter pathology
... The prerequisite of statistical analysis at group level and arithmetic averaging of subject data is the normalisation to a standardised stereotactic space, e.g. the Montreal Neu- rological Institute (MNI) space. MNI ...
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Reducing CSF Partial Volume Effects to Enhance Diffusion Tensor Imaging Metrics of Brain Microstructure
... invaluable tool for identification of various brain disorders with the goal of informing therapeutic methods and eventual cures. In conjunction with the notable potential of these technologies to answer important ...
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A geometric interpretation of stochastic gradient descent using diffusion metrics
... where as usual, g ij are the coefficients of the dual metric tensor; i.e., the entries of the inverse of the matrix ( g kl ) . The torsion freeness is equivalent to the symmetry Γ l jk = Γ l kj . In R n , the ...
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Simultaneous magnetic resonance diffusion and pseudo-diffusion tensor imaging
... anisotropic diffusion pa- rameters related to tissue micro-structures were not ...higher-order metrics could be more vulnerable to experimental design and noise compared to standard ten- sor metrics ...
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Simultaneous magnetic resonance diffusion and pseudo-diffusion tensor imaging
... anisotropic diffusion parameters related to tissue micro- structures were not ...higher-order metrics could be more vulnerable to experimental design and noise compared to standard tensor ...
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Simultaneous magnetic resonance diffusion and pseudo-diffusion tensor imaging
... anisotropic diffusion parameters related to tissue micro- structures were not ...higher-order metrics could be more vulnerable to experimental design and noise compared to standard tensor ...
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Regularisation, interpolation and visualisation of diffusion tensor images using non Euclidean statistics
... of diffusion tensor images is considered, and we focus primarily on methods that use metrics based on Euclidean distances between powers of diffusion ...for diffusion tensor ...
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Quantitative analysis of hypertrophic myocardium using diffusion tensor magnetic resonance imaging
... corresponding diffusion tensor data is a future project that could provide further insight into the spatial localization of specific pathology and its impact on heart function and may be useful in ...
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Diffusion Tensor Registration Using Probability Kernels and Discrete Optimization
... de diffusion en utilisant des noyaux de probabilits et un schma d’optimisation discrte R´ esum´ e : Dans ce rapport, nous proposons une nouvelle approche pour le recalage d’images IRM de tenseurs diffusion ...
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Identification of the stria medullaris thalami using diffusion tensor imaging
... We sought to demonstrate the utility of DTI based probabilistic fiber tracking to de fine a potentially broader target of the LHb through visualization of the SM. In all five patients, we were able to reliably visualize the ...
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The computational simulation of brain connectivity using diffusion tensor MRI
... The diffusion tensor information from water molecules diffusing in the brain, obtained using dt-mri, was described and ...linear diffusion and fractional models to study standard ...
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Voice Pathology Detection Using Modulation Spectrum-Optimized Metrics
... (MS) metrics are optimized considering different time and frequency ranges pursuing the maximization of efficiency for the detection of pathological ...the metrics is performed simultaneously in two ...
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Tensor Algorithms for Advanced Sensitivity Metrics
... Given a black-box routine that can be evaluated on demand, one can often build an accurate TT representation of it via an adaptive sampling scheme over a structured set of samples, for example, cross-approximation [ 34 ...
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Quantative analysis of brain white matter using diffusion tensor imaging
... 5 main interest of this research is to assess the condition of the white matter using DTI parameter indices, i.e. MD and FA and comparing it with normal brain tissue. This study tried to assess specifically each ...
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White Matter Heritability Using Diffusion Tensor Imaging in Neonatal Brains
... estimated using data from 173 neonatal twin subjects. Diffusion tensor imaging scans were acquired around 40 days after birth and were non- rigidly registered to a group-specific atlas and ...
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Visualization of Water Transport Pathways in Plants Using Diffusion Tensor Imaging
... 3 Institute for Measurement Science, Slovak Academy of Sciences, D´ ubravsk´a Cesta 9, Bratislava SK-84219, Slovakia Abstract—Magnetic resonance imaging (MRI) is a well established non-invasive technique to retrieve ...
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MR study of myocardial fiber structure using diffusion tensor imaging
... In normal hearts, most fiber bundles, particularly those having long pathways in myocardium, tend to have small helix angles and spiral circumferentially in mid-wall. The fiber pathways at middle and upper ventricle are ...
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