A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Estimation of Diffusion Properties in Crossing Fiber Bundles
2010
IEEE Transactions on Medical Imaging
Preserved Fulltext
There is an ongoing debate on how to model diffusivity in fiber crossings. ...
Index Terms-Cramér-Rao analysis, diffusion properties, diffusion weighted magnetic resonance imaging, dual tensor model, Monte Carlo simulations. ...
Validation in Brain Data A quantitative validation of estimated diffusion properties within fiber crossings in the human brain is complicated by the lack of a ground truth. ...
doi:10.1109/tmi.2010.2049577
pmid:20562045
fatcat:twhg2ulj3ngorhoxyaqoipchfe
Generating Fiber Crossing Phantoms Out of Experimental DWIs
[chapter]
2007
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2007; you can also visit the original URL.
The file type is application/pdf.
High Angular Resolution Diffusion Imaging (HARDI) aims at using more complex models, such as a two-tensor model, for estimating two fiber bundles. ...
In Diffusion Tensor Imaging (DTI), differently oriented fiber bundles inside one voxel are incorrectly modeled by a single tensor. ...
Caan took place in the context of the Virtual Laboratory for e-Science project (http://www.vl-e.nl/), is supported by a BSIK grant from the Dutch Ministry of Education, Culture and Science (OC&W) and is ...
doi:10.1007/978-3-540-75757-3_21
fatcat:aumq7hi4svfhjcwuifupc2plce
A Ray-based Approach for Boundary Estimation of Fiber Bundles Derived from Diffusion Tensor Imaging
[article]
2013
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Diffusion Tensor Imaging (DTI) is a non-invasive imaging technique that allows estimation of the location of white matter tracts in-vivo, based on the measurement of water diffusion properties. ...
Therefore, the fiber bundle boundary has to be determined. In this paper, a novel ray-based approach for boundary estimation of tubular structures is presented. ...
Purpose Diffusion Tensor Imaging (DTI) is a non-invasive imaging technique that allows estimation of the location of white matter tracts in-vivo, based on the measurement of water diffusion properties. ...
arXiv:1310.6092v1
fatcat:4jgsm64k6razzaqpickpzm7uqq
Beyond fractional anisotropy: Extraction of bundle-specific structural metrics from crossing fiber models
2014
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
and no fiber crossings are present in the voxel. ...
of fiber bundles. ...
Acknowledgements Part of this work was supported by the FET project CONNECT of the EU (www.brainconnect.eu). ...
doi:10.1016/j.neuroimage.2014.06.015
pmid:24936681
fatcat:v7rghqipm5ag7otimmdf77kk4u
Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations
[chapter]
2011
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
error in the estimation of local fiber orientations and causes a major loss of fiber crossings. ...
The reconstructed fiber trajectories form a common geometry onto which diffusion properties of each individual subject can be projected based on the corresponding locations in the subject native space. ...
This work was supported in part by NIH grants: EB006733, EB008374, EB009634, MH088520, HD05300, MH064065, and NS055754. ...
doi:10.1007/978-3-642-23629-7_17
fatcat:etkhzesqr5cxbo5frbsyw6v3d4
Mapping the Orientation of White Matter Fiber Bundles: A Comparative Study of Diffusion Tensor Imaging, Diffusional Kurtosis Imaging, and Diffusion Spectrum Imaging
2016
American Journal of Neuroradiology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Diffusion spectrum imaging and diffusional kurtosis imaging enabled the detection of crossing-fiber bundles, which had pronounced effects on tractography relative to DTI. ...
resulting in clinically misleading information. 4, 5 Of the several proposed DWI methods for estimating the orientation of WM fiber bundles, a common approach uses the diffusion orientation distribution ...
direction from physical properties of water diffusion. ...
doi:10.3174/ajnr.a4714
pmid:26939628
pmcid:PMC4946981
fatcat:7dnfrmhnxbfghp3texokyoofge
Multivariate Varying Coefficient Models for DTI Tract Statistics
[chapter]
2010
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Diffusion tensor imaging (DTI) is important for characterizing the structure of white matter fiber bundles as well as detailed tissue properties along these fiber bundles in vivo. ...
kernel method for estimating smoothed multiple diffusion properties along individual fiber bundles, global and local test statistics for testing hypotheses of interest along fiber tracts, and a resampling ...
groups and the assessment of the development of fiber bundle diffusion properties along time. ...
doi:10.1007/978-3-642-15705-9_84
fatcat:ywxqwpsxarebvf6xk4hjbn7jou
Estimating fiber orientation distribution from diffusion MRI with spherical needlets
2018
Medical Image Analysis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The FOD is designed to describe the local spatial arrangement of axonal fiber bundles in such a way that sharply-defined geometric Yan et al. ...
We present a novel method for estimation of the fiber orientation distribution (FOD) function based on diffusion-weighted magnetic resonance imaging (D-MRI) data. ...
Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense ...
doi:10.1016/j.media.2018.01.003
pmid:29502033
pmcid:PMC5910185
fatcat:qpe6yvzudnb7jekyahde2sz5yq
Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis
2006
Medical Image Analysis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Quantitative diffusion tensor imaging (DTI) has become the major imaging modality to study properties of white matter and the geometry of fiber tracts of the human brain. ...
Feasibility of our approach is demonstrated on various fiber tracts of a single data set. ...
This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. ...
doi:10.1016/j.media.2006.07.003
pmid:16926104
fatcat:ifr6duqwhfd2do4774vadunc7e
Parametric spherical deconvolution: Inferring anatomical connectivity using diffusion MR imaging
2007
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The advent of diffusion MR imaging has enabled the exploration of the structural properties of white matter in vivo. ...
This neurophysiological metric may represent the proportion of the nerve fibers originating in the source area which intersect a given target region. ...
For instance, the diffusion properties of a fiber bundle also encode the spreading of the fibers within that bundle. This spreading is far from being constant throughout the white matter. ...
doi:10.1016/j.neuroimage.2007.05.012
pmid:17596967
fatcat:qa7audizcnhplavb6c3mfkvctq
Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis
[chapter]
2005
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Quantitative diffusion tensor imaging (DTI) has become the major imaging modality to study properties of white matter and the geometry of fiber tracts of the human brain. ...
Feasibility of our approach is demonstrated on various fiber tracts of a single data set. ...
This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. ...
doi:10.1007/11566465_17
fatcat:j5jiblxufnft5drqfzphopgaki
Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation
2020
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Unlike previously-proposed voxel-based T2 estimation methods, which (when applied in white matter) implicitly assume just one fiber bundle in the voxel or the same T2 for all bundles in the voxel, COMMIT-T2 ...
Quantifying microstructural properties of distinct fiber populations within a voxel is therefore challenging but necessary. ...
In contrast, COMMIT-T 2 correctly estimated the 2 values in both bundles in the fiber crossing region. ...
doi:10.1016/j.neuroimage.2020.117617
pmid:33301934
fatcat:aeglpy5brne6bep2h672l6uo2i
Prevalence of white matter pathways coming into a single white matter voxel orientation: The bottleneck issue in tractography
2021
Human Brain Mapping
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
., tractometry), and underscores the need for a paradigm shift in the process of tractography and bundle segmentation for studying the fiber pathways of the human brain. ...
To do this, we use diffusion tractography to segment known white matter bundles of the brain, and assign each bundle to voxels they pass through and to specific orientations within those voxels (i.e. fixels ...
Diffusion models capable of resolving crossing fibers were pursued in order to be able to disentangle different bundles traversing a single voxel; however, it is clear that if there are multiple bundles ...
doi:10.1002/hbm.25697
pmid:34921473
pmcid:PMC8837578
fatcat:5vvylnrmend5vhsjg3eaeujuju
PopTract: Population-Based Tractography
2011
IEEE Transactions on Medical Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
error in the estimation of local fiber orientations and causes a major loss of fiber crossings. ...
The reconstructed fiber trajectories form a common geometry onto which diffusion properties of each individual subject can be projected based on the corresponding locations in the subject native space. ...
as change of diffusion properties within the tracts [4] , [5] . ...
doi:10.1109/tmi.2011.2154385
pmid:21571607
pmcid:PMC4855297
fatcat:ymeuczvbwrcydavbiwsiguqqwa
Age-Related Differences in White Matter: Understanding Tensor-Based Results Using Fixel-Based Analysis
2021
Cerebral Cortex
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
in fiber cross section were largest in cingulum bundle and forceps minor. ...
Age-related FA differences were widespread but were strongly associated with differences in multi-fiber complexity (CX), suggesting that they reflected differences in crossing fibers in addition to structural ...
By quantifying the diffusion of water molecules in WM tracts, dMRI can be used to infer the geometry and structural properties of WM fiber bundles. ...
doi:10.1093/cercor/bhab056
pmid:33791797
pmcid:PMC8440891
fatcat:b4qobgdiirckdlfwgu7tiaf7ti
« Previous
Showing results 1 — 15 out of 17,657 results