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Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification
2005
NeuroImage
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In the volume-based evaluation, the volume enclosed by the CLASP WM and GM surfaces matched the classified GM volume 13% more accurately than using conventional ASP. ...
This paper presents a novel method for improving the conventional ASP algorithm by making use of partial volume information through probabilistic classification in order to allow for topology preservation ...
The process is guided (in a manner that is outlined in the next section) by the use of partial volume CSF in order to insure correct sulcal morphology. ...
doi:10.1016/j.neuroimage.2005.03.036
pmid:15896981
fatcat:vtohlijhoja3plmlwwdku4eqii
Loss of cerebral white matter structural integrity tracks the gray matter metabolic decline in normal aging☆
2009
NeuroImage
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measurements were converted to standard uptake values and corrected for partial volume artifact. ...
span and HWM volumes. ...
Surface-based analysis of cortical 18 FDG GM uptake-Cortical 18 FDG PET uptake measurements were calculated using a surface-based analysis before and after correction for partial volume averaging artifact ...
doi:10.1016/j.neuroimage.2008.11.010
pmid:19095067
pmcid:PMC2734283
fatcat:yo64lrezkna5tndoeg2nyvg6f4
FDDNP binding using MR derived cortical surface maps
2010
NeuroImage
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movement and partial volume (PV), and optimized for kernel size. ...
Discriminant analysis was used to order the FDDNP DVR cortical surfaces based on subjects' disease state. Linear regression was used to assess the rate of change of DVR vs. ...
Koon-Pong Wong, and Weber Shao for their help with movement correction of PET images. ...
doi:10.1016/j.neuroimage.2009.08.035
pmid:19703569
pmcid:PMC2764817
fatcat:gqaziarmtjberkwl6zpo3yv5oi
Automatic Delineation of Sulci and Improved Partial Volume Classification for Accurate 3D Voxel-Based Cortical Thickness Estimation from MR
[chapter]
2008
Lecture Notes in Computer Science
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When using magnetic resonance images (MRI), accuracy may be hampered by artifacts such as partial volume (PV) as the cortex spans only a few voxels. ...
The aim of this work is to propose a voxel-based cortical thickness estimation method from MR by integrating a mechanism for correcting sulci delineation after an improved partial volume classification ...
Then, the resulting skeletonized surface combined with the partial volume maps are used to correct the hard segmentations for computing the thickness. ...
doi:10.1007/978-3-540-85988-8_31
fatcat:mrptrrbwsrcvtpx4y5z3dbhptm
A framework to analyze cerebral mean diffusivity using surface guided diffusion mapping in diffusion tensor imaging
2015
Frontiers in Neuroscience
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Diffusion tensor imaging of the brain: review of
and outer cortical surfaces using a laplacian map and partial volume clinical applications. ...
(B) The
cortical surface superimposed in the MD volume. The MD volume was aligned the T1-weighted volume to correct for contamination by CSF. ...
doi:10.3389/fnins.2015.00236
pmid:26236180
pmcid:PMC4500906
fatcat:pncr75klbncz3jl4vythjrvj7m
Cortical surface segmentation and mapping
2004
NeuroImage
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This paper describes a comprehensive approach for cortical reconstruction, flattening, and sulcal segmentation. ...
Results demonstrating the application of this approach to a study of cortical thickness changes in aging are presented. D 2004 Elsevier Inc. All rights reserved. ...
We note that all processing is done on the original cortical surface-the partially flattened surface is used for visualization only. ...
doi:10.1016/j.neuroimage.2004.07.042
pmid:15501080
pmcid:PMC4587756
fatcat:5poegzjszvhnpfq7zha2haka24
CRUISE: Cortical reconstruction using implicit surface evolution
2004
NeuroImage
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The method combines a fuzzy tissue classification method, an efficient topology correction algorithm, and a topology-preserving geometric deformable surface model (TGDM). ...
The algorithm is fast and numerically stable, and yields accurate brain surface reconstructions that are guaranteed to be topologically correct and free from selfintersections. ...
Xiaodong Tao for providing software that was used in the validation studies. This work was supported in part by NIH/NINDS Grant R01NS37747. ...
doi:10.1016/j.neuroimage.2004.06.043
pmid:15528100
fatcat:hv3wfe2i4jcljbcgj2435oawpy
Regionally Specific Cortical Thinning and Gray Matter Abnormalities in the Healthy Relatives of Schizophrenia Patients
2006
Cerebral Cortex
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To investigate the nature of cortical abnormalities in the healthy relatives of patients, this study used magnetic resonance imaging to evaluate gray matter volume, surface area, and thickness of 13 regions ...
Cortical thickness and surface area are additional indicators of cortical cytoarchitectural integrity. ...
To improve the accuracy of tissue classification and cortical surface extraction, whole-brain volumes were intensity corrected using nonparametric nonuniform intensity normalization (N3, Sled and others ...
doi:10.1093/cercor/bhj158
pmid:16547347
fatcat:t24lwc34ujfopfsbm6ykno377e
Diffusion properties of cortical and pericortical tissue: regional variations, reliability and methodological issues
2012
Magnetic Resonance Imaging
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The measurement of FA, MD and cPDD near the cortical surface clarifies the organization of fiber projections to and from the cortex. ...
5 mm from the pial surface into white matter. ...
The views expressed herein do not necessarily reflect the views of the US Department of Veterans Affairs or the United States Government. ...
doi:10.1016/j.mri.2012.04.004
pmid:22698767
fatcat:dlyube46ffemnbtqysz7qydaqa
BrainSuite: An Automated Cortical Surface Identification Tool
[chapter]
2000
Lecture Notes in Computer Science
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In this paper we describe the theory of each stage of the cortical surface identification process. We then present validation results using real and phantom data. ...
We describe a new magnetic resonance (MR) image analysis tool that produces cortical surface representations with spherical topology from MR images of the human brain. ...
MR imaging offers neuroanatomical detail, but extraction of cortical surfaces from MR imagery faces several problems, including measurement noise, partial volume effects, and image nonuniformity due to ...
doi:10.1007/978-3-540-40899-4_6
fatcat:qy22ko42dfcpffp54rwljuceym
BrainSuite: An automated cortical surface identification tool
2002
Medical Image Analysis
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In this paper we describe the theory of each stage of the cortical surface identification process. We then present validation results using real and phantom data. ...
We describe a new magnetic resonance (MR) image analysis tool that produces cortical surface representations with spherical topology from MR images of the human brain. ...
MR imaging offers neuroanatomical detail, but extraction of cortical surfaces from MR imagery faces several problems, including measurement noise, partial volume effects, and image nonuniformity due to ...
doi:10.1016/s1361-8415(02)00054-3
pmid:12045000
fatcat:twtgqwnxhfahhlqwuexjfvlliu
Regional growth and atlasing of the developing human brain
2016
NeuroImage
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Whole brain volume, the absolute volume of all structures studied, cortical curvature and cortical surface area increased with increasing age at scan. ...
Preterm infants at term had smaller whole brain volumes, reduced regional white matter and cortical and subcortical grey matter volumes, and reduced cortical surface area compared with term born controls ...
without correction for the CGM-WM partial volume and sulci correction. ...
doi:10.1016/j.neuroimage.2015.10.047
pmid:26499811
pmcid:PMC4692521
fatcat:ihpvnbpfkrfhngp4ld4bimjz4q
Relationships between IQ and Regional Cortical Gray Matter Thickness in Healthy Adults
2006
Cerebral Cortex
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Cortical thickness may more closely reflect cytoarchitectural characteristics than gray matter density or volume estimates. ...
Positive relationships were found between FSIQ and intracranial gray and white matter but not cerebrospinal fluid volumes. ...
of gray matter, white matter, and cerebrospinal fluid (CSF) using a partial volume correction method (Shattuck et al. 2001) . ...
doi:10.1093/cercor/bhl125
pmid:17118969
fatcat:v3o6muqizbdohasn7izapmuplq
An Automated Pipeline for the Analysis of PET Data on the Cortical Surface
2018
Frontiers in Neuroinformatics
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Our pipeline combines tools from FreeSurfer and PETPVC, and consists of (i) co-registration of PET and T1-w MRI (T1) images, (ii) intensity normalization, (iii) partial volume correction, (iv) robust projection ...
We present a fully automatic pipeline for the analysis of PET data on the cortical surface. ...
The PET image, after partial volume correction performed using the parcellation, is robustly projected onto the cortical surface. ...
doi:10.3389/fninf.2018.00094
pmid:30618699
pmcid:PMC6296445
fatcat:5u4tcsec5jgsfmsu2n5a5slyc4
Joint Analysis of Cortical Area and Thickness as a Replacement for the Analysis of the Volume of the Cerebral Cortex
2017
Cerebral Cortex
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Cortical surface area is an increasingly used brain morphology metric that is ontogenetically and phylogenetically distinct from cortical thickness and offers a separate index of neurodevelopment and disease ...
We use the methods to analyze area, thickness and volume in young adults born preterm with very low birth weight, and show that NPC analysis is a more sensitive option for studying joint effects on area ...
Volume can be estimated through the use of voxelwise partial volume effects using a volume-based representation of the brain, such as in VBM, or from a surface representation, in which it can be measured ...
doi:10.1093/cercor/bhx308
pmid:29190325
pmcid:PMC5972607
fatcat:tcb4gnzpefdademztlq3oai5wa
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