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Inference of a HARDI Fiber Bundle Atlas Using a Two-Level Clustering Strategy [chapter]

Pamela Guevara, Cyril Poupon, Denis Rivière, Yann Cointepas, Linda Marrakchi, Maxime Descoteaux, Pierre Fillard, Bertrand Thirion, Jean-François Mangin
2010 Lecture Notes in Computer Science  
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]

Salim Arslan
2018 arXiv   pre-print
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  
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

Xiaoying Tang, Shoko Yoshida, John Hsu, Thierry A. G. M. Huisman, Andreia V. Faria, Kenichi Oishi, Kwame Kutten, Andrea Poretti, Yue Li, Michael I. Miller, Susumu Mori, Gaolang Gong
2014 PLoS ONE  
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

Qiulin Tang, Beshan Chiang, Akinola Akinyemi, Alexander Zamyatin, Bibo Shi, Satoru Nakanishi, Bruce R. Whiting, Christoph Hoeschen
2014 Medical Imaging 2014: Physics of Medical Imaging  
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]

J. Weickert
1996 Computing Supplement  
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]

Rodrigues, PR (Paulo), Haar Romeny, BM (Bart) Ter, Vilanova Bartroli, A (Anna)
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

Anjali Bagunu Tarun
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

Xavier Gigandet
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

Artur Hahn
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

Manuel Graña
2022 Zenodo  
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

Manuel Graña
2022 Zenodo  
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

Andreas Schuh, Daniel Rueckert
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

Margherita Carboni, Serge Vulliemoz, Christoph Michel
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 ( 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]

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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