39 Hits in 5.1 sec

Front Matter: Volume 10578

Barjor Gimi, Andrzej Krol
2018 Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging  
callosal fiber convergence plane computation through DTI-based divergence map [10578-40] 10578 16 SESSION 9 CANCER 10578 18 Determining the importance of parameters extracted from multi-parametric  ...  growing [10578-98] 10578 2R Automatic coronary artery lumen segmentation in computed tomography angiography using paired multi-scale 3D CNN [10578-99] Proc. of SPIE Vol. 10578 1057801-8 [10578-86] 10578  ... 
doi:10.1117/12.2323952 fatcat:om4wezsn3vgr7mebecadzuy5ly

Mapping brain anatomical connectivity using white matter tractography

Mariana Lazar
2010 NMR in Biomedicine  
These interconnections take place through white matter pathways.  ...  Integration of the neural processes in the human brain is realized through interconnections that exist between different neural centers.  ...  by the DTI-based tractography methods.  ... 
doi:10.1002/nbm.1579 pmid:20886567 pmcid:PMC4503207 fatcat:vxtc74ouufe35njl4wmwljldna

Edge density imaging: Mapping the anatomic embedding of the structural connectome within the white matter of the human brain

Julia P. Owen, Yi Shin Chang, Pratik Mukherjee
2015 NeuroImage  
(EDI), which maps the number of network edges that pass through every white matter voxel.  ...  In this work, we introduce edge density imaging (EDI), which maps the number of network edges that pass through every white matter voxel.  ...  Probability of crossing fibers We computed an approximation of the probability of crossing fibers, p(CF), in every voxel by subtracting the volume fraction of the first fiber (f1) and second fiber (f2)  ... 
doi:10.1016/j.neuroimage.2015.01.007 pmid:25592996 pmcid:PMC4340739 fatcat:j7tw7qkukrewhj4k6o6noror4u

Mathematical methods for diffusion MRI processing

C. Lenglet, J.S.W. Campbell, M. Descoteaux, G. Haro, P. Savadjiev, D. Wassermann, A. Anwander, R. Deriche, G.B. Pike, G. Sapiro, K. Siddiqi, P.M. Thompson
2009 NeuroImage  
We focus on Diffusion Tensor Images (DTI) and Q-Ball Images (QBI).  ...  In this article, we review recent mathematical models and computational methods for the processing of diffusion Magnetic Resonance Images, including state-of-the-art reconstruction of diffusion models,  ...  Callosal fibers are tightly packed at the interhemispheric plane, but diverge and mingle with other fiber bundles as they progress toward the frontal lobes.  ... 
doi:10.1016/j.neuroimage.2008.10.054 pmid:19063977 pmcid:PMC2678879 fatcat:of2nb3nnozhp5dz2uwk5tj5bui

ConTrack: Finding the most likely pathways between brain regions using diffusion tractography

A. J. Sherbondy, R. F. Dougherty, M. Ben-Shachar, S. Napel, B. A. Wandell
2008 Journal of Vision  
Magnetic resonance diffusion-weighted imaging coupled with fiber tractography (DFT) is the only non-invasive method for measuring white matter pathways in the living human brain.  ...  The overlap from the independent ConTrack pathway estimates in the midsagittal plane through the CC is substantial and confined to the splenium ( Figure 6B ).  ...  These callosal fibers are not detected with STT Huang et al., 2005; Wakana et al., 2004) , probably due to the problem of crossing fibers, as these callosal pathways likely interdigitate with the much  ... 
doi:10.1167/8.9.15 pmid:18831651 pmcid:PMC2696074 fatcat:u6fnn3badjbh5ex5nvljsjyd2y

The structural connectome of the human brain in agenesis of the corpus callosum

Julia P. Owen, Yi-Ou Li, Etay Ziv, Zoe Strominger, Jacquelyn Gold, Polina Bukhpun, Mari Wakahiro, Eric J. Friedman, Elliott H. Sherr, Pratik Mukherjee
2013 NeuroImage  
In this exploratory study, the structural connectome of AgCC is mapped and compared to that of the normal human brain.  ...  connectome are investigated, including summary network metrics, modularity analysis, and network consistency measures, with comparison to the normal structural connectome after simulated removal of all callosal  ...  Although no participants had visible cortical malformations, the gyral and sulcal anatomy of AgCC might still contain subtle divergence from the FreeSurfer atlas, which is based on the normal human brain  ... 
doi:10.1016/j.neuroimage.2012.12.031 pmid:23268782 pmcid:PMC4127170 fatcat:lkyibetvqbbk7f7y7rpmqql7oq

Processing Pathways in Mental Arithmetic—Evidence from Probabilistic Fiber Tracking

Elise Klein, Korbinian Moeller, Volkmar Glauche, Cornelius Weiller, Klaus Willmes, Bogdan Draganski
2013 PLoS ONE  
The current study addressed this issue combining a reanalysis of previously published fMRI data with probabilistic fiber tracking data from an independent sample.  ...  Probabilistic DTI-based fiber tracking DTI data were analyzed using the method of pathway extraction developed by Kreher et al.  ...  Group maps for each region-to-region connection were computed by averaging the combined maps from all participants.  ... 
doi:10.1371/journal.pone.0055455 pmid:23383194 pmcid:PMC3559478 fatcat:7or3wksbsjeajn4pvlmbvnjn4m

Microscopic susceptibility anisotropy imaging

Enrico Kaden, Noemi G. Gyori, S. Umesh Rudrapatna, Irina Y. Barskaya, Iulius Dragonu, Mark D. Does, Derek K. Jones, Chris A. Clark, Daniel C. Alexander
2020 Magnetic Resonance in Medicine  
A human pilot study at 3 T demonstrates proxy maps of microscopic susceptibility anisotropy unconfounded by fiber crossings and orientation dispersion as well as magnetic field direction.  ...  The gradient-echo MR signal in brain white matter depends on the orientation of the fibers with respect to the external magnetic field.  ...  Afterwards, we are able to perform fiber tractography 48 and quantify anatomical connectivity. 49 It is evident from Panel C that diverging, converging, and crossing pathways are ubiquitous in brain  ... 
doi:10.1002/mrm.28303 pmid:32378746 fatcat:apptu4wlxvgd5i6xaidrfsclmm

Bipolar disorder and neurophysiologic mechanisms

Simon McCrea
2008 Neuropsychiatric Disease and Treatment  
Recent diffusion tensor imaging (DTI) white matter fi ber tractography studies may well be superior to region of interest (ROI) DTI in understanding BD.  ...  A "ventral semantic stream" has been discovered connecting the TP and OFC through the uncinate and inferior longitudinal fasciculi and the elusive TP is known to be involved in theory of mind and complex  ...  In the face of criticism regarding the weaknesses in region of interest or voxel-based mapping of diffusion tensor imaging within a single plane, some of the originators of the technique of DTI advocated  ... 
doi:10.2147/ndt.s4329 pmid:19337455 pmcid:PMC2646644 fatcat:gc75yc5sszftlkc3veoodc54jm

Introduction to JINS Special Issue on Human Brain Connectivity in the Modern Era: Relevance to Understanding Health and Disease

Deanna M. Barch, Mieke Verfaellie, Stephen M. Rao
2016 Journal of the International Neuropsychological Society  
Mapping human whole-brain structural networks with diffusion MRI. PLoS One, 2(7), e597.  ...  Mapping the structural core of human cerebral cortex. PLoS Biology, 6(7), e159. Hagmann, P., Kurant, M., Gigandet, X., Thiran, P., Wedeen, V.J., Meuli, R., & Thiran, J.P. (2007).  ...  However, current DTI-based fiber tracking algorithms are limited in their ability to resolve crossing and touching fiber bundles, which are highly prevalent fiber configurations in the human white matter  ... 
doi:10.1017/s1355617716000047 fatcat:f2preenihbes5ftkrxbo7tgt64

Modeling & Analysis

2003 NeuroImage  
The computation of the functional interactions through correlation coefficients (functional connectivity) or through linear regression (effective connectivity) are based on an average over many subjects  ...  An asymptotic theory for convergence of Z-maps, which are commonly used in ICA of fMRI data, is unknown. Information about the rate of convergence of Z-maps is important.  ...  Surfaced-based classification is also studied.  ... 
doi:10.1016/s1053-8119(05)70006-9 fatcat:zff2suxcofbxvetfrwfwcxi3zm

From diffusion MRI to brain connectomics

Patric Hagmann
The same observation is valid for the cingulum and the callosal fibers (red and green surface) as well as CST and callosal fibers.  ...  Although mathematically simple this type of MAP problem can be computationally difficult because of combinatorial explosion.  ...  [3] damps vertex degree growth through vertex aging and energy limitations.  ... 
doi:10.5075/epfl-thesis-3230 fatcat:ws63pjm545h7joevxqku7ogmii

Diffusion Tensor Imaging of Epilepsy

Min Liu
Time course of normalized DTI parameters of the occipital callosal fibers. .. Time course of normalized DTI parameters of the ipsilateral fornix. ............  ...  to the manual automatisms.  ...  DTI with ten repetitions (6D x 10), 30 direction DTI with one acquisition (30D x 1), and 30 direction DTI with two repetitions (30D x 2).  ... 
doi:10.7939/r3zg6gg35 fatcat:g2khh4gs7zaklkekfe2wvw6p4i


Anesthesia and in vivo MR Imaging DTI data analysis and tractography reconstructions Figure 1 -DTI-derived maps for a representative ovine brain Computed maps of diffusion (mm 2 /s x 10 -3 ) are shown  ...  The method is based on the adaptive thresholding concept where threshold values are locally computed for each pixel.  ... 
doi:10.13130/trovatelli-marco_phd2020-02-06 fatcat:asfqfm3afzhx5jpfkwntbeulb4

Abstracts 20th International Science of Aphasia Conference, Rome, September 2019

Redactie SSTP
2019 Stem- Spraak- en Taalpathologie  
Clusterize automatically computed hypo-intensities clusters of voxels on mean diffusivity maps.  ...  Positive areas were used as seeds for DTI-fiber tracking to reconstruct fiber bundles terminating in said areas.  ...  The most notable cases are illustrated in (1) Spaces between words are crucial for the automatized word counts. Hence, in the first version contractions are automatically computed as a single word.  ... 
doi:10.21827/5d8b76574cc25 fatcat:bqjuswjw5vaarhxtzvlq54ahhe
« Previous Showing results 1 — 15 out of 39 results