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Estimation of Diffusion Properties in Crossing Fiber Bundles

Matthan W A Caan, H Ganesh Khedoe, Dirk H J Poot, Arjan J den Dekker, Silvia D Olabarriaga, Kees A Grimbergen, Lucas J van Vliet, Frans M Vos
2010 IEEE Transactions on Medical Imaging  
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]

Matthan Caan, Anne Willem de Vries, Ganesh Khedoe, Erik Akkerman, Lucas van Vliet, Kees Grimbergen, Frans Vos
2007 Lecture Notes in Computer Science  
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]

Miriam H. A. Bauer, Sebastiano Barbieri, Jan Klein, Jan Egger, Daniela Kuhnt, Bernd Freisleben, Horst K. Hahn, Christopher Nimsky
2013 arXiv   pre-print
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

Till W. Riffert, Jan Schreiber, Alfred Anwander, Thomas R. Knösche
2014 NeuroImage  
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]

Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen
2011 Lecture Notes in Computer Science  
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

G. R. Glenn, L.- W. Kuo, Y.- P. Chao, C.- Y. Lee, J. A. Helpern, J. H. Jensen
2016 American Journal of Neuroradiology  
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]

Hongtu Zhu, Martin Styner, Yimei Li, Linglong Kong, Yundi Shi, Weili Lin, Christopher Coe, John H. Gilmore
2010 Lecture Notes in Computer Science  
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

Hao Yan, Owen Carmichael, Debashis Paul, Jie Peng
2018 Medical Image Analysis  
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

I COROUGE, P FLETCHER, S JOSHI, S GOUTTARD, G GERIG
2006 Medical Image Analysis  
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

Enrico Kaden, Thomas R. Knösche, Alfred Anwander
2007 NeuroImage  
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]

Isabelle Corouge, P. Thomas Fletcher, Sarang Joshi, John H. Gilmore, Guido Gerig
2005 Lecture Notes in Computer Science  
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

Muhamed Barakovic, Chantal M.W. Tax, Umesh S. Rudrapatna, Maxime Chamberland, Jonathan Rafael-Patino, Cristina Granziera, Jean-Philippe Thiran, Alessandro Daducci, Erick J. Canales-Rodríguez, Derek K. Jones
2020 NeuroImage  
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

Kurt G. Schilling, Chantal M. W. Tax, Francois Rheault, Bennett A. Landman, Adam W. Anderson, Maxime Descoteaux, Laurent Petit
2021 Human Brain Mapping  
., 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

Pew-Thian Yap, J. H. Gilmore, Weili Lin, Dinggang Shen
2011 IEEE Transactions on Medical Imaging  
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

Shannon Kelley, John Plass, Andrew R Bender, Thad A Polk
2021 Cerebral Cortex  
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
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