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Inference of a HARDI Fiber Bundle Atlas Using a Two-Level Clustering Strategy
[chapter]
2010
Lecture Notes in Computer Science
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This analysis reduces the complexity of the data to a few thousands fiber bundles for each subject. ...
This model is made up of a set of generic fiber bundles that can be detected in most of the population. Our approach is based on a two-level clustering strategy. ...
The diffusion Orientation Distribution Function was reconstructed in each voxel using a spherical deconvolution of fiber Orientation Distribution Function. ...
doi:10.1007/978-3-642-15705-9_67
fatcat:g562krujkzdufd7coieqbiuug4
Connectivity-Driven Parcellation Methods for the Human Cerebral Cortex
[article]
2018
arXiv
pre-print
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underlying connectivity, as well as, revealing their impact on network analysis. ...
In this thesis, we present robust and fully-automated methods for the subdivision of the entire human cerebral cortex based on connectivity information. ...
Acknowledgements I would like to first of all thank my supervisor Daniel Rueckert for giving me the opportunity ...
arXiv:1802.06772v1
fatcat:zeu6okppcnbhjakwyoe3gf64pi
Modeling & Analysis
2003
NeuroImage
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Abstract The analysis of imaging data, from PET or functional MRI, involves the detection of which areas of the brain activate during a cognitive task of interest. ...
We previously proposed a straightforward but effective approach for incorporating delays into an ICA model by performing the analysis in the frequency domain, on the power spectrum and we now extend this ...
In the temporal domain, we specify a two level hierarchical linear model with multiple error covariance constraints (1) to account for the non-sphericity of the data. ...
doi:10.1016/s1053-8119(05)70006-9
fatcat:zff2suxcofbxvetfrwfwcxi3zm
Multi-Contrast Multi-Atlas Parcellation of Diffusion Tensor Imaging of the Human Brain
2014
PLoS ONE
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For each structure, the probability distribution of each element in the feature vector is modeled as a mixture of Gaussians, the parameters of which are estimated from the labeled atlases. ...
In this paper, we propose a novel method for parcellating the human brain into 193 anatomical structures based on diffusion tensor images (DTIs). ...
Introduction For quantitative analysis of the human brain anatomy, defining structures or regions of interest (ROIs) is one of the first essential steps. ...
doi:10.1371/journal.pone.0096985
pmid:24809486
pmcid:PMC4014574
fatcat:eo7sowgxdjdo3osly5ndxntqti
A combined local and global motion estimation and compensation method for cardiac CT
2014
Medical Imaging 2014: Physics of Medical Imaging
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ADC images are computed by applying a voxelwise exponential fitting to multiple diffusion-weighted MR images (DW-MRIs) acquired with different diffusion gradients. ...
The method is evaluated on 10 datasets of free-breathing abdominal DW-MRIs acquired from healthy volunteers. ...
Studies have shown that there is variation in the agreement between operators viewing the same tissue [1] suggesting that a complimentary technique for verification could improve the robustness of the ...
doi:10.1117/12.2043492
fatcat:fyzpc5m6jbh7fjohqpdmtzkhte
Theoretical Foundations of Anisotropic Diffusion in Image Processing
[chapter]
1996
Computing Supplement
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Chapter 2 presents a general model for the continuous setting where the diffusion tensor depends on the structure tensor (interest operator, second-moment matrix), a generalization of the Gaussian-smoothed ...
The prerequisites are kept to a minimum and can be found in standard textbooks on image processing [163] , matrix analysis [407] , functional analysis [9, 58, 7], ordinary differential equations [56, 412 ...
Unlike diffusion-reaction models aiming to yield one segmentation-like result for t → ∞ (cf. 1.4), the temporal evolution of these models generates a complete hierarchical family of segmentation-like images ...
doi:10.1007/978-3-7091-6586-7_13
dblp:conf/tfcv/Weickert94
fatcat:pu7ukgair5c63fzkkew3rq7tya
Homogeneity based segmentation and enhancement of Diffusion Tensor Images:a white matter processing framework
[article]
2011
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Theory Diffusion weighted MRI modelling techniques estimate functions that reside on a sphere, the spherical distribution functions (SDF). ...
This is a challenging region for DW-MRI analysis techniques, since fibers of the corpus callosum (CC), corona radiata (CR), and superior longitudinal fasciculus (SLF) form a three-fold crossing. ...
doi:10.6100/ir694439
fatcat:owjicorckbbdxdjblz7htecvaa
Exploring dynamic functional connectivity by incorporating prior knowledge of brain structure
2020
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Thank you to Mamina for being the sweetest mother-in-law one could ever ask. Dakujem velmi pekne. ...
Thank you for all the ski trips and the sumptuous dinners we all shared. A special thanks also to the family of my fiancé, Mamina, Tatino, and Dominik, for welcoming me to your home. ...
Acknowledgements Martina, Soham, and Apa for all the happy moments that we shared, the weekly board games, the dinner celebrations, and the picnics along the lake. ...
doi:10.5075/epfl-thesis-8205
fatcat:o2gshjgtwvh25hh3osy6q7chsu
Global brain connectivity analysis by diffusion MR tractography:algorithms, validation and applications
2009
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functional connectivity derived from resting-state functional MRI and structural connectivity measured with tractography. • Performance analysis of different diffusion MRI techniques based on multiple ...
On the other hand, functional MRI has enabled the mapping of functional networks [172, 222] . ...
doi:10.5075/epfl-thesis-4511
fatcat:7tvgdpd4mzgtxnfng3zr5srbty
Artificial magnetic resonance contrasts based on microvascular geometry: A numerical basis
2021
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In this thesis, groundwork is laid for the exploration of such contrasts and suitable MRI sequences, with a demonstration of the feasibility of such an approach based on transverse relaxation for brain ...
Data-driven signal classifications enable model-less predictions of tissue properties on a single voxel level, offering artificial MRI contrasts. ...
Acknowledgements Safe online data storage connected to the cluster was provided by the service SDS@hd, supported by the Ministry of Science, Research
Acknowledgements
ORCID
Artur Hahn https:/ ...
doi:10.11588/heidok.00030162
fatcat:l7cunjgg5fh6datc3ashvhnjiy
Basque Conference on Cyber Physical Systems and Artificial Intelligence
2022
Zenodo
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This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence ...
European Studies on Renewable Energy Systems. ...
Acknowledgements The authors would like to thank Aguas de Galicia from Xunta de Galicia for the support in the construction of the reference information for the multispectral images. ...
doi:10.5281/zenodo.6568145
fatcat:lbwc7clohbeybmmdjhdlalxziu
Basque Conference on Cyber Physical Systems and Artificial Intelligence
2022
Zenodo
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This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence ...
European Studies on Renewable Energy Systems. ...
Acknowledgements The authors would like to thank Aguas de Galicia from Xunta de Galicia for the support in the construction of the reference information for the multispectral images. ...
doi:10.5281/zenodo.6574965
fatcat:wclgcwfeuvglhnenzq7uvie5by
Computational models of the morphology of the developing neonatal human brain
2018
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Finally, we present deformable models for the reconstruction of the neonatal cortex, which correct for common errors observed in state-of-the-art neonatal brain segmentations. ...
Studying the morphology and function of the brain during maturation, provides us not only with a better understanding of normal development, but may help identify causes for these. ...
D. program in the Biomedical Image Analysis Group (BioMedIA). Since I joined the group, my supervisor, Prof. ...
doi:10.25560/58880
fatcat:247gouybmzajbpic2ryusmwdiu
Brain Functional Connectivity and Network alterations in patients with focal epilepsy
2020
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The funders were not involved in the study design, in the collection, analysis and interpretation of data, in the writing of the report, or in the decision to submit the article for publication. ...
The Cartool software (http://sites.google.com/site/fbmlab/cartool) has been programmed by Denis Brunet from the Functional Brain Mapping Laboratory in Geneva and is supported by the Center for Biomedical ...
In the dipole source models a search is made for the best dipole position(s) and orientation(s): the assumption is that a single, or only a few, brain area(s) are responsible for the topography seen on ...
doi:10.13097/archive-ouverte/unige:142245
fatcat:mht3tflkijbepmhhhspset32va
Dagstuhl Reports, Volume 8, Issue 10, October 2018, Complete Issue
[article]
2019
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thank all the attendees for their contributions and extend special thanks to the moderators of the breakout sessions and the team of Schloss Dagstuhl for helping to make this seminar a success. ...
Uncertainty in Progressive Data Analysis Sriram Karthik Badam (University of Maryland -College Park, US), Marco Angelini (Sapienza University of Rome, IT), Jean-Daniel Fekete (INRIA Saclay -Orsay, FR), ...
In particular, Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) is based on measuring anisotropic diffusion. ...
doi:10.4230/dagrep.8.10
fatcat:q5uhtls46rd3zf4cnl4szgxc7y
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