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A New Cortical Surface Parcellation Model and Its Automatic Implementation
[chapter]
2006
Lecture Notes in Computer Science
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The aim of our method is to exhibit a new way to describe the cortical surface organization, in both anatomical and functional terms. ...
The parcellation is obtained using an anatomically constrained surface-based coordinate system from which we define a complete partition of the surface. ...
In this paper, we propose a new approach to automatically define a robust gyri-based parcellation of the cortical surface. ...
doi:10.1007/11866763_24
fatcat:7n5ope6n5nai3fcoctw25uabi4
Automatic parcellation of cortical surfaces using random forests
2015
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
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In this paper, we propose a new method leveraging random forests and graph cuts methods to parcellate cortical surfaces into a set of gyral-based regions, using multiple surface atlases with manual labels ...
Automatic and accurate parcellation of cortical surfaces into anatomically and functionally meaningful regions is of fundamental importance in brain mapping. ...
INTRODUCTION Automatic and accurate parcellation of cortical surfaces into anatomically and functionally meaningful regions is of fundamental importance in human brain mapping [1] . ...
doi:10.1109/isbi.2015.7163995
pmid:26405505
pmcid:PMC4578305
dblp:conf/isbi/MengLGS15
fatcat:vfs6aana45bghjiusevjx6gozi
Automatically Parcellating the Human Cerebral Cortex
2004
Cerebral Cortex
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We present a technique for automatically assigning a neuroanatomical label to each location on a cortical surface model based on probabilistic informatio estimated from a manually labeled training set. ...
The result is a complete labeling of cortical sulci and gyri. ...
Thanks also to Andrea Boehland, Bobbie Holland and Nicole Cullen for providing manual parcellations for use in this paper. ...
doi:10.1093/cercor/bhg087
pmid:14654453
fatcat:vcnxj2dkfbfx7aud4t5glj7m54
Automatic cortical sulcal parcellation based on surface principal direction flow field tracking
2009
NeuroImage
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In this paper, a novel method is proposed for automatic cortical sulcal parcellation based on the geometric characteristics of cortical surface including its principal curvatures and principal directions ...
Automatic parcellation of the cortical surface into sulcal regions is of great importance in structural and functional mapping of the human brain. ...
Acknowledgement G Li , J Nie and L Guo were supported by the NWPU Foundation for Fundamental Research. ...
doi:10.1016/j.neuroimage.2009.03.039
pmid:19328234
pmcid:PMC2756525
fatcat:outn6su4dfdulf7svwzg3xdqfy
Analyzing imaging biomarkers for traumatic brain injury using 4d modeling of longitudinal MRI
2013
2013 IEEE 10th International Symposium on Biomedical Imaging
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We propose a new methodology for computing imaging biomarkers in TBI by extending a recently proposed spatiotemporal 4D modeling approach in order to compute quantitative features of tissue change. ...
The proposed method computes surface-based and voxel-based measurements such as cortical thickness, volume changes, and geometric deformation. ...
CONCLUSIONS We propose a new framework for computing imaging biomarkers by extending our recently developed spatiotemporal model construction. ...
doi:10.1109/isbi.2013.6556793
pmid:24443697
pmcid:PMC3892715
dblp:conf/isbi/WangPICSVHG13
fatcat:m3yuipyxavdopdbesnfognof4y
Cortical surface parcellation based on intra-subject white matter fiber clustering
[article]
2020
arXiv
pre-print
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2019
2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)
unpublished
doi:10.1109/chilecon47746.2019.8988066 fatcat:kx63fawdfbgpxgficlxn5d5k5i
doi:10.1109/chilecon47746.2019.8988066 fatcat:kx63fawdfbgpxgficlxn5d5k5i
Results in five subjects from ARCHI database show a good individual cortical parcellation for each one, composed of about 200 subparcels per hemisphere and complying with these connectivity measures. ...
The fibers that make up each cluster are then intersected with the cortical mesh and then filtered to discard outliers. ...
In this work, we propose a new hybrid method of individual cortical parcellation based on WM connectivity and intra-subject fiber clustering, with automatic parcel labeling. ...
arXiv:2002.09034v1
fatcat:m5534eypkvb4zmde7rpgepftau
Parcellation Schemes and Statistical Tests to Detect Active Regions on the Cortical Surface
[chapter]
2010
Proceedings of COMPSTAT'2010
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In this paper, we propose a new approach that first defines anatomical regions such as cortical gyri outlined on the cortical surface, and then segments these regions into functionally homogeneous structures ...
using a parcellation procedure that includes an explicit between-subject variability model, i.e. random effects. ...
data Ys, results from a spatial model, shared across subjects, that provides the probability w that each surface point belongs to a parcel, and a hierarchical model of the functional parameters, with ...
doi:10.1007/978-3-7908-2604-3_58
dblp:conf/compstat/ThirionTP10
fatcat:4aq2menjbfccfcvwp46mcd7fue
Fast cortical surface reconstruction from MRI using deep learning
2022
Brain Informatics
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Importantly, the model demonstrated good generalizability in previously unseen data and showed high test–retest reliability in cortical morphometrics and anatomical parcellations. ...
AbstractReconstructing cortical surfaces from structural magnetic resonance imaging (MRI) is a prerequisite for surface-based functional and anatomical image analyses. ...
Network implementation The network model was implemented in Python 3.8.8 using PyTorch framework 1.6.0 [40] . ...
doi:10.1186/s40708-022-00155-7
pmid:35262808
pmcid:PMC8907118
fatcat:z45geoz5crefrowd26oiyi55o4
Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI
[article]
2017
bioRxiv
pre-print
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Here we propose a gradient-weighted Markov Random Field (gwMRF) model integrating local gradient and global similarity approaches. ...
Furthermore, gwMRF parcellations agreed with the boundaries of certain cortical areas defined using histology and visuotopic fMRI. ...
al., 2016) and a multimodal parcellation derived from a semi-automatic method (Glasser et al., 2016) . ...
doi:10.1101/135632
fatcat:nwl56qsicfexrk6xvg4glbe234
Accurate nonlinear mapping between MNI volumetric and FreeSurfer surface coordinate systems
2018
Human Brain Mapping
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fsaverage and projection of fsaverage parcellations to MNI152/Colin27. ...
resting-state fMRI parcellations from fsaverage to MNI152/Colin27 for volumetric analysis of new data. ...
FreeSurfer constitutes a suite of automatic algorithms that extract models of most macroscopic human brain structures from T1 MRI data. ...
doi:10.1002/hbm.24213
pmid:29770530
fatcat:6a3mur2clvazfkgtwjyxcc32aa
Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
2017
Cerebral Cortex
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Here, we propose a gradient-weighted Markov Random Field (gwMRF) model integrating local gradient and global similarity approaches. ...
Furthermore, gwMRF parcellations agreed with the boundaries of certain cortical areas defined using histology and visuotopic fMRI. ...
Consequently, it is unclear if there is a correct number of brain parcels or if cortical areas are necessarily the optimal resolution for cortical parcellations. ...
doi:10.1093/cercor/bhx179
pmid:28981612
fatcat:omaez3tu3jcxdg2kqa6rkstsgu
Algorithm to find high density EEG scalp coordinates and analysis of their correspondence to structural and functional regions of the brain
2014
Journal of Neuroscience Methods
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An algorithm is introduced for automatic calculation of the International 10-20, 10-10, and 10-5 scalp coordinates of EEG electrodes on a boundary element mesh of a human head. ...
The parcellation method presented summarizes the EEG scalp locations with respect to brain regions without computation of a full EEG forward model solution. ...
Acknowledgments This work was supported by the NIH National Institute of Aging R21AG033256, Dartmouth SYNERGY, and the Institute for Quantitative Biomedical Sciences (iQBS). ...
doi:10.1016/j.jneumeth.2014.04.020
pmid:24769168
pmcid:PMC4071772
fatcat:g2noifbnwnec7bwms7lyd5o5du
ciftiTools: A package for reading, writing, visualizing and manipulating CIFTI files in R
[article]
2021
arXiv
pre-print
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gray matter data from the subcortex and cerebellum into a single file. ...
Surface- and grayordinate-based analysis of MR data has well-recognized advantages, including improved whole-cortex visualization, the ability to perform surface smoothing to avoid issues associated with ...
We use to create a mask of only that parcel, and to create a new with two measurements: the original parcellation and the masked PCC. ...
arXiv:2106.11338v2
fatcat:btquudjj6bhfflkpo6suxghwfe
Bayesian approach for network modeling of brain structural features
2010
Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging
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cortical surface areas. ...
Results are presented for a population of 466 brains, where a SEM (structural equation modeling) approach is used to generate a Bayesian network model, as well as a dependency graph for the joint distribution ...
It calculates volumes of individual grey matter parcellations in mm 3 and surface area in mm 2 . ...
doi:10.1117/12.844548
fatcat:jrp6ppsf3bhf5lvqx4en7ij7uy
MEG Source Localization of Spatially Extended Generators of Epileptic Activity: Comparing Entropic and Hierarchical Bayesian Approaches
2013
PLoS ONE
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A Data Driven Parcellization (DDP) method was used to segment the cortical surface into non-overlapping parcels and diffusion-based spatial priors were used to model local spatial smoothness within parcels ...
Source localization methods based on two types of realistic models have been investigated: (i) brain activity may be modeled using cortical parcels and (ii) brain activity is assumed to be locally smooth ...
In order to implement these above-mentioned spatial models, we proposed two new source localization methods within the MEM framework (MEM-s and CMEM-s) and one within the HB framework (COH-s). ...
doi:10.1371/journal.pone.0055969
pmid:23418485
pmcid:PMC3572141
fatcat:64dzjvq4qvdtljnpgkdx6sw7b4
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