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Sulcal Segmentation for Cortical Thickness Measurements [chapter]

Chloe Hutton, Enrico De Vita, Robert Turner
2002 Lecture Notes in Computer Science  
For accurate cortical thickness measurements in brain MRI, precise segmentation of the grey matter border is necessary.  ...  Thickness of the cerebral cortex may provide valuable information about normal and abnormal neuroanatomy.  ...  Extraction of Grey Matter Boundaries: For measuring cortical thickness, the grey matter boundaries following deep sulcal folds must be accurately segmented.  ... 
doi:10.1007/3-540-45786-0_55 fatcat:q7v44cmydvf25hhyvo3fejlpau

Cross-sectional and Longitudinal Analyses of Anatomical Sulcal Changes Associated with Aging

M. E. Rettmann
2005 Cerebral Cortex  
We examine surface area, GM thickness, GM volume, sulcal depth, local gyrification index, and measures of curvature.  ...  In addition, we found longitudinal decreases in surface area, mean thickness, GM volume, and sulcal depth measures as well as changes in sulcal curvature.  ...  Notes The authors thank Dzung Pham for assistance with the MR data. The authors also thank Dinggang Shen and Christos Davatzikos for computation of the ICVs.  ... 
doi:10.1093/cercor/bhj095 pmid:16400155 fatcat:6hhzv6auqnerdjl3r72cbdmkrq

Cortical surface segmentation and mapping

Duygu Tosun, Maryam E. Rettmann, Xiao Han, Xiaodong Tao, Chenyang Xu, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince
2004 NeuroImage  
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.  ...  Noor Kabani for providing the hand-labeled atlas data and Kirsten Behnke for assistance with the atlas data. This work was supported in part by NIH/NINDS Grant R01NS37747.  ... 
doi:10.1016/j.neuroimage.2004.07.042 pmid:15501080 pmcid:PMC4587756 fatcat:5poegzjszvhnpfq7zha2haka24

Program for Assisted Labeling of Sulcal Regions (PALS): description and reliability

Maryam E. Rettmann, Duygu Tosun, Xiaodong Tao, Susan M. Resnick, Jerry L. Prince
2005 NeuroImage  
First, we describe a user interface that allows for the efficient labeling of the segmented sulcal regions called the Program for Assisted Labeling of Sulcal Regions (PALS).  ...  Studies of the entire surface are important for measuring global features, but analysis of specific cortical regions of interest provides a more detailed understanding of structure.  ...  Dzung Pham for assistance with the MR data and Dr. Michael Kraut for his expertise regarding this work.  ... 
doi:10.1016/j.neuroimage.2004.08.014 pmid:15627582 fatcat:j5swmuibcrdadguc6jsg4l4vbu

Variations in brain morphometry among healthy preschoolers born preterm

Holly M. Hasler, Timothy T. Brown, Natacha Akshoomoff
2020 Early Human Development  
To investigate the gray matter morphometry measures of cortical thickness, cortical surface area, and sulcal depth using MRI at 5 years of age in healthy children born preterm. Cohort study.  ...  Cortical segmentation and calculation of morphometry measures were completed using FreeSurfer version 5.3.0 and compared between groups using surface-based, voxel-wise analyses.  ...  Roger Bakeman, Sarah Mattson, and Carrie McDonald for consultation.  ... 
doi:10.1016/j.earlhumdev.2019.104929 pmid:31751933 pmcid:PMC7231635 fatcat:tc3kl33dsbd3ljmbbyuhh4lgre

Three-dimensional mapping of cortical thickness using Laplace's Equation

Stephen E. Jones, Bradley R. Buchbinder, Itzhak Aharon
2000 Human Brain Mapping  
Key advantages of this method are that it is fully three-dimensional, and the thickness is uniquely defined for any point in the cortex.  ...  Cortical pathologies often manifest abnormal variations in thickness, with examples of Alzheimer's disease and cortical dysplasia as thin and thick cortex, respectively.  ...  We also thank Geoffrey Jones for a mathematical review, Colin Allen for the figures, and Anders Dale, Bruce Fischl, Dave Kennedy, Nikos Markis, and Andy Worth, of the Center for Morphometric Analysis  ... 
doi:10.1002/1097-0193(200009)11:1<12::aid-hbm20>;2-k pmid:10997850 fatcat:kc53mz4ij5gzpitms7cuih36ga

Cortical Gyrification and Sulcal Spans in Early Stage Alzheimer's Disease

Tao Liu, Darren M. Lipnicki, Wanlin Zhu, Dacheng Tao, Chengqi Zhang, Yue Cui, Jesse S. Jin, Perminder S. Sachdev, Wei Wen, Stephen D. Ginsberg
2012 PLoS ONE  
measures in patients with AD.  ...  Previous research suggests that cortical folding and sulcal width are associated with cognitive function in elderly individuals, and the aim of the present study was to investigate these morphological  ...  All g-SI, average cortical thickness and sulcal span comparisons were adjusted for age, sex and eTIV.  ... 
doi:10.1371/journal.pone.0031083 pmid:22363554 pmcid:PMC3283590 fatcat:e6k3l344lvgopjvvf2cjltyyky

Cortical thickness and central surface estimation

Robert Dahnke, Rachel Aine Yotter, Christian Gaser
2013 NeuroImage  
measuring cortical thickness.  ...  For situations 99 in which extensive surface analysis is not required, PBT would allow 100 the exclusion of cortical surface reconstruction steps with no loss of 101 accuracy for cortical thickness measurements  ...  reconstruction of the CS and measurement of cortical 798 thickness.  ... 
doi:10.1016/j.neuroimage.2012.09.050 pmid:23041529 fatcat:zrtprefarjcq3edtkvhrfcxtai

Longitudinal stability of the folding pattern of the anterior cingulate cortex during development

A. Cachia, G. Borst, C. Tissier, C. Fisher, M. Plaze, O. Gay, D. Rivière, N. Gogtay, J. Giedd, J.-F. Mangin, O. Houdé, A. Raznahan
2016 Developmental Cognitive Neuroscience  
We focus on the anterior cingulate cortex (ACC) - an intensely studied cortical region that presents two qualitatively distinct and reliably classifiable sulcal patterns with links to postnatal behavior  ...  Prenatally established cortical folding patterns are increasingly studied as an adult proxy for earlier development events - under the as yet untested assumption that an individual's folding pattern is  ...  ACC cortical thickness We also assessed the longitudinal change of the ACC cortical thickness (CT) in the same sample.  ... 
doi:10.1016/j.dcn.2016.02.011 pmid:26974743 pmcid:PMC4912935 fatcat:dubo2yihv5gfnhodvmo53cmxee

Identification of Early-Stage Alzheimer's Disease Using Sulcal Morphology and Other Common Neuroimaging Indices

Kunpeng Cai, Hong Xu, Hao Guan, Wanlin Zhu, Jiyang Jiang, Yue Cui, Jicong Zhang, Tao Liu, Wei Wen, Stephen D. Ginsberg
2017 PLoS ONE  
Based on the four modalities of the individual measures, i.e., sulcal measures, cortical thickness, cortical volume, subcortical volume, and combinations of these individual measures, three types of classifiers  ...  In this study, we investigated sulcal width and three other common neuroimaging morphological measures (cortical thickness, cortical volume, and subcortical volume) to identify early-stage AD.  ...  Marcus for providing the OASIS dataset (  ... 
doi:10.1371/journal.pone.0170875 pmid:28129351 pmcid:PMC5271367 fatcat:6da7eggchveipdrs77wb24ltpa

A Library of Cortical Morphology Analysis Tools to Study Development, Aging and Genetics of Cerebral Cortex

Peter Kochunov, William Rogers, Jean-Francois Mangin, Jack Lancaster
2011 Neuroinformatics  
It contains tools to measure global and regional gyrification, gray matter thickness and sulcal and gyral white matter spans.  ...  We describe a library of tools developed to quantify global and regional differences in cortical anatomy in high resolution structural MR images.  ...  The depth measurements across the empty space between segments (bold lines) can be included into the calculation of the average sulcal depth Regional markers of cerebral atrophy: GM thickness, and sulcal  ... 
doi:10.1007/s12021-011-9127-9 pmid:21698393 pmcid:PMC3471145 fatcat:awmuxx2g7bhr3humkrephmarnq

Consistent sulcal parcellation of longitudinal cortical surfaces

Gang Li, Dinggang Shen
2011 NeuroImage  
However, applying the existing methods (which were typically developed for cortical sulcal parcellation of a single cortical surface) independently to longitudinal cortical surfaces might generate longitudinally-inconsistent  ...  To overcome this limitation, this paper presents a novel energy function based method for accurate and consistent sulcal parcellation of longitudinal cortical surfaces.  ...  Acknowledgments The authors would like to thank Yaping Wang and Yang Li for helping pre-processing data.  ... 
doi:10.1016/j.neuroimage.2011.03.064 pmid:21473919 pmcid:PMC3101304 fatcat:btnrmb7ryfbu3eus3cdm2ugp6u

Automatic cortical sulcal parcellation based on surface principal direction flow field tracking

Gang Li, Lei Guo, Jingxin Nie, Tianming Liu
2009 NeuroImage  
surface for sulcal region segmentation, and 2) using a principal direction flow field tracking method on the cortical surface for sulcal basin segmentation.  ...  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  ...  The authors would like to thank Mayuresh Kasture for his help in proofreading of this manuscript and the anonymous reviewers for providing constructive suggestions that improved this paper.  ... 
doi:10.1016/j.neuroimage.2009.03.039 pmid:19328234 pmcid:PMC2756525 fatcat:outn6su4dfdulf7svwzg3xdqfy

Robust Cortical Thickness Morphometry of Neonatal Brain and Systematic Evaluation Using Multi-Site MRI Datasets

Mengting Liu, Claude Lepage, Sharon Y. Kim, Seun Jeon, Sun Hyung Kim, Julia Pia Simon, Nina Tanaka, Shiyu Yuan, Tasfiya Islam, Bailin Peng, Knarik Arutyunyan, Wesley Surento (+8 others)
2021 Frontiers in Neuroscience  
Cortical thickness measured on T1 MRI using NEOCIVET 2.0 was compared with that on T2 using the established dHCP pipeline.  ...  The range of the cortical thickness measured was biologically congruent (1.3 mm at 28 weeks of PMA to 1.8 mm at term equivalent).  ...  cortical thickness measured from different studies.  ... 
doi:10.3389/fnins.2021.650082 pmid:33815050 pmcid:PMC8010150 fatcat:375ffvilgrdq7hgdvxc3emna2e

Quantitative In Vivo Measurement of Gyrification in the Human Brain: Changes Associated with Aging

V. A. Magnotta
1999 Cerebral Cortex  
Cortical thickness also decreases over time. Cortical thinning progresses more rapidly in males than in females.  ...  We describe a quantitative method for measuring brain surface characteristics that is reliable and valid.  ...  Image acquisition, tissue segmentation, identification of the cortical surface and measurements of the cortical surface (i.e. cortical thickness, surface area and curvature) were identical for the two  ... 
doi:10.1093/cercor/9.2.151 pmid:10220227 fatcat:2zgzj3ye2jegtaqhtlqgxx3sfq
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