Filters








783 Hits in 8.8 sec

Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation [article]

Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman
2017 arXiv   pre-print
Multi-atlas segmentation has been regarded as one of the leading segmentation methods for the whole brain segmentation.  ...  Whole brain segmentation and cortical surface parcellation are essential in understanding the anatomical-functional relationships of the brain.  ...  First, nonlocal spatial STAPLE (NLSS) multi-atlas segmentation framework was used to achieve whole brain segmentation [8] .  ... 
arXiv:1712.00543v1 fatcat:eooslbbdzvgr7czxfsr3m26caq

Improved stability of whole brain surface parcellation with multi-atlas segmentation

Yuankai Huo, Shunxing Bao, Bennett A. Landman, Prasanna Parvathaneni, Elsa D. Angelini, Bennett A. Landman
2018 Medical Imaging 2018: Image Processing  
Multi-atlas segmentation has been regarded as one of the leading segmentation methods for the whole brain segmentation.  ...  Whole brain segmentation and cortical surface parcellation are essential in understanding the brain anatomical-functional relationship.  ...  We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research.  ... 
doi:10.1117/12.2281509 pmid:29910528 pmcid:PMC5998819 dblp:conf/miip/HuoBPL18 fatcat:fmvvbj6cavagnigtiumgpzmjym

MonkeyCBP: A Toolbox for Connectivity-Based Parcellation of Monkey Brain

Bin He, Zhengyi Yang, Lingzhong Fan, Bin Gao, Hai Li, Chuyang Ye, Bo You, Tianzi Jiang
2020 Frontiers in Neuroinformatics  
Among them, brainnetome atlas is tightly related to brain connectome information and built by parcellating the brain on the basis of the anatomical connectivity profiles derived from structural neuroimaging  ...  As an indispensable tool for brain imaging data analysis, brain atlases have been extensively investigated, and a variety of versions constructed.  ...  ACKNOWLEDGMENTS The authors thank all of developers of FSL, ANTs, SGE, GTKserver, NIfTI toolbox, and export_fig toolbox, whose functions are used or modified in the toolbox.  ... 
doi:10.3389/fninf.2020.00014 pmid:32410977 pmcid:PMC7198896 fatcat:ph6flp2iafg43aqvkbwl45cq4a

MIST: A multi-resolution parcellation of functional brain networks

Sebastian Urchs, Jonathan Armoza, Yassine Benhajali, Jolène St-Aubin, Pierre Orban, Pierre Bellec
2017 MNI Open Research  
Here we present the Multiresolution Intrinsic Segmentation Template (MIST), a multi-resolution parcellation of the cortical, subcortical and cerebellar gray matter.  ...  We believe that the MIST parcellation will facilitate future investigations of the multiresolution basis of brain function.  ...  We would like to thank AmanPreet Badhwar, Angela Tam, and Perrine Ferré for their comments and suggestions of parcel names.  ... 
doi:10.12688/mniopenres.12767.1 fatcat:a7honqluofgvzke6lh3kjbmt34

MIST: A multi-resolution parcellation of functional brain networks

Sebastian Urchs, Jonathan Armoza, Clara Moreau, Yassine Benhajali, Jolène St-Aubin, Pierre Orban, Pierre Bellec
2019 MNI Open Research  
Here we present the Multiresolution Intrinsic Segmentation Template (MIST), a multi-resolution group level parcellation of the cortical, subcortical and cerebellar gray matter.  ...  In addition, the MIST parcellations are fully annotated and provide a hierarchical decomposition of functional brain networks across nine resolutions (7 to 444 functional parcels).  ...  We would like to thank AmanPreet Badhwar, Angela Tam, and Perrine Ferré for their comments and suggestions of parcel names.  ... 
doi:10.12688/mniopenres.12767.2 fatcat:h4rq65pq7vgdtk4chzo2f5vpde

Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction [chapter]

Po-Yu Kao, Thuyen Ngo, Angela Zhang, Jefferson W. Chen, B. S. Manjunath
2019 Lecture Notes in Computer Science  
For segmentation, we utilize an existing brain parcellation atlas in the MNI152 1mm space and map this parcellation to each individual subject data.  ...  The main novelty in the proposed methods is the use of normalized brain parcellation data and tractography data from the human connectome project for analyzing MR images for segmentation and survival prediction  ...  This research was partially supported by a National Institutes of Health (NIH) award # 5R01NS103774-02.  ... 
doi:10.1007/978-3-030-11726-9_12 fatcat:4ly7tzq4vje73ncwmgkbgj7whe

Evaluation of group-specific, whole-brain atlas generation using Volume-based Template Estimation (VTE): Application to normal and Alzheimer's populations

Yajing Zhang, Jiangyang Zhang, Johnny Hsu, Kenichi Oishi, Andreia V. Faria, Marilyn Albert, Michael I. Miller, Susumu Mori
2014 NeuroImage  
It has been tested for segmented brain structures, such as the hippocampus, but its validity on whole-brain MR images has not been examined.  ...  In addition to the volume-based quantitative analysis, the preserved brain topology of the VTE allows surface-based analysis within the same atlas framework.  ...  The terms of this arrangement are being managed by Johns Hopkins University in accordance with its conflict of interest policies. The authors thank Dr. Laurent Younes and Dr.  ... 
doi:10.1016/j.neuroimage.2013.09.011 pmid:24051356 pmcid:PMC3860098 fatcat:utxce5q4rbdbrfgj7isylg7cgy

A magnetic resonance multi-atlas for the neonatal rabbit brain

Sebastiano Ferraris, Johannes van der Merwe, Lennart Van Der Veeken, Ferran Prados, Juan-Eugenio Iglesias, Andrew Melbourne, Marco Lorenzi, Marc Modat, Willy Gsell, Jan Deprest, Tom Vercauteren
2018 NeuroImage  
In this work we introduce the first digital neonatal rabbit brain atlas consisting of 12 multi-modal acquisitions, parcellated into 89 areas according to a hierarchical taxonomy.  ...  Keywords: Newborn rabbit brain animal model MRI multi-atlas Multi-atlas based segmentation A B S T R A C T The rabbit model has become increasingly popular in neurodevelopmental studies as it is best suited  ...  For the creation of our multi-atlas the whole procedure with the manual adjustments had been performed three times.  ... 
doi:10.1016/j.neuroimage.2018.06.029 pmid:29908313 pmcid:PMC6203700 fatcat:tlcphuz5jzfe7iryp532si3sjq

From Coarse to Fine-Grained Parcellation of the Cortical Surface Using a Fiber-Bundle Atlas

Narciso López-López, Andrea Vázquez, Josselin Houenou, Cyril Poupon, Jean-François Mangin, Susana Ladra, Pamela Guevara
2020 Frontiers in Neuroinformatics  
Moreover, we compared two of our parcellations with state-of-the-art atlases, finding a degree of similarity with dMRI, functional, anatomical, and multi-modal atlases.  ...  The connectivity information is obtained from segmented superficial and deep white matter bundles, according to bundle atlases, instead of the whole tractography.  ...  Moreover, we compared two of our parcellations with state-of-the-art atlases, finding a degree of similarity with dMRI, functional, anatomical, and multi-modal atlases.  ... 
doi:10.3389/fninf.2020.00032 pmid:33071768 pmcid:PMC7533645 fatcat:zqa3xfyu65gc7mzq4hzt6fcgli

Optimized Cortical Subdivision for Classification of Alzheimer's Disease With Cortical Thickness [chapter]

Mirco Richter, Dorit Merhof
2013 Bildverarbeitung für die Medizin 2013  
In this work , an optimized classifier is presented for a parcellation scheme that provides a trade-off between both paradigms by increasing the granularity of a regional approach.  ...  In every aspect, superior classification performance was observed as compared to the original parcellation scheme which can be explained by the increased locality of cortical thickness measures and the  ...  For the whole brain, this results in 15 regions per ROI times the 96 ROls of the Harvard-Oxford atlas, each represented by a mean CoT value.  ... 
doi:10.1007/978-3-642-36480-8_8 dblp:conf/bildmed/RichterM13 fatcat:hnctn6d7ejgcla5wezhohfedmq

SPANOL (SPectral ANalysis of Lobes): A Spectral Clustering Framework for Individual and Group Parcellation of Cortical Surfaces in Lobes

Julien Lefèvre, Antonietta Pepe, Jennifer Muscato, Francois De Guio, Nadine Girard, Guillaume Auzias, David Germanaud
2018 Frontiers in Neuroscience  
Section 3.6 illustrates the stability of the spectral partitioning with respect to surface deformation and how it can be a powerful tool to parcellate developing brains as revealed by the second dataset  ...  Hence, the combination of mean curvature flow with spectral clustering may be seen as a first step of investigation to ensure the stability of a cortical parcellation along the brain development and its  ... 
doi:10.3389/fnins.2018.00354 pmid:29904338 pmcid:PMC5990633 fatcat:kcam3sdj35ee3evsnilcthvjtm

A Review on MR Based Human Brain Parcellation Methods [article]

Pantea Moghimi, Anh The Dang, Theoden I. Netoff, Kelvin O. Lim, Gowtham Atluri
2021 arXiv   pre-print
of brain parcellations.  ...  Brain parcellations play a ubiquitous role in the analysis of magnetic resonance imaging (MRI) datasets. Over 100 years of research has been conducted in pursuit of an ideal brain parcellation.  ...  Declarations of interest: none  ... 
arXiv:2107.03475v1 fatcat:a3hk74udsnderlw7kxlxncedju

Automatic parcellation of longitudinal cortical surfaces

Manal H. Alassaf, James K. Hahn, Sébastien Ourselin, Martin A. Styner
2015 Medical Imaging 2015: Image Processing  
By adding the tissue and/or structure segmentation into the brain atlas construction, multi-channel brain atlases are produced.  ...  Developing Brain Atlases with Parcellation In spite of parcellation methodology, and as in the case of brain tissue segmentation, some parcellation techniques used prior information encoded in an atlas  ... 
doi:10.1117/12.2081739 dblp:conf/miip/AlassafH15 fatcat:l2udn7wrmraubjzij7qjdgwrui

Fully-Automated μMRI Morphometric Phenotyping of the Tc1 Mouse Model of Down Syndrome

Nick M. Powell, Marc Modat, M. Jorge Cardoso, Da Ma, Holly E. Holmes, Yichao Yu, James O'Callaghan, Jon O. Cleary, Ben Sinclair, Frances K. Wiseman, Victor L. J. Tybulewicz, Elizabeth M. C. Fisher (+3 others)
2016 PLoS ONE  
We employ clinically established multi-atlas techniques-superior to single-atlas methods-together with publiclyavailable atlas databases for automatic skull-stripping and tissue segmentation, providing  ...  We show the application of freely available open-source software developed for clinical MRI analysis to mouse brain data: NiftySeg for segmentation and NiftyReg for registration, and discuss atlases and  ...  Results should improve further with the increased availability of such atlases.  ... 
doi:10.1371/journal.pone.0162974 pmid:27658297 pmcid:PMC5033246 fatcat:wjr7ooarezgo7b4i4jaxekixje

Processing of structural neuroimaging data in young children: Bridging the gap between current practice and state-of-the-art methods

Thanh Vân Phan, Dirk Smeets, Joel B. Talcott, Maaike Vandermosten
2017 Developmental Cognitive Neuroscience  
These methods are mainly related to the use of age-specific or 4D brain atlases, improved methods for quantifying and optimizing image quality, and provision for registration of developmental data obtained  ...  The structure of the brain is subject to very rapid developmental changes during early childhood.  ...  reported that multi-contrast neonatal brain atlases enable a segmentation of neonatal brains into 122 regions with the same accuracy as manual segmentation (Oishi et al., 2011) .  ... 
doi:10.1016/j.dcn.2017.08.009 pmid:29033222 pmcid:PMC6969273 fatcat:nadoyjiegbajpgz23q52ihx3ry
« Previous Showing results 1 — 15 out of 783 results