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Cortical Surface Shape Analysis Based on Spherical Wavelets

Peng Yu, P. Ellen Grant, Yuan Qi, Xiao Han, Florent Segonne, Rudolph Pienaar, Evelina Busa, Jenni Pacheco, Nikos Makris, Randy L. Buckner, Polina Golland, Bruce Fischl
2007 IEEE Transactions on Medical Imaging  
In this paper, we apply a spherical wavelet transformation to extract shape features of cortical surfaces reconstructed from magnetic resonance images (MRIs) of a set of subjects.  ...  We perform principal component analysis (PCA) on these wavelet shape features to study patterns of shape variation within normal population from coarse to fine resolution.  ...  Yeo for discussion and advice on SPHARM and spherical wavelets. P. E. Grant would like to thannk M. Nishida for the manual segmentation of the newborn brains as well as D. Kennedy and V.  ... 
doi:10.1109/tmi.2007.892499 pmid:17427744 pmcid:PMC4465968 fatcat:p4iyvsnhvzfabbyzbbjcnwdpfe

Cortical Surface Shape Analysis Based on Spherical Wavelet Transformation

Peng Yu, Xiao Han, F. Segonne, R. Pienaar, R.L. Buckner, P. Golland, P.E. Grant, B. Fischl
2006 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06)  
In this paper, we propose the use of a spherical wavelet transformation to extract cortical surface shape features, as wavelets can characterize the underlying functions in a local fashion in both space  ...  cortical surface models in subject populations.  ...  in the spherical coordinates based on the folding pattern of cortical surfaces [14, 15] .  ... 
doi:10.1109/cvprw.2006.62 pmid:26082947 pmcid:PMC4465957 fatcat:ijlm6cucevhsra6h76q4vax3qm

Cortical Folding Development Study based on Over-Complete Spherical Wavelets

Peng Yu, Boon Thye Thomas Yeo, P. Ellen Grant, Bruce Fischl, Polina Golland
2007 2007 IEEE 11th International Conference on Computer Vision  
We introduce the use of over-complete spherical wavelets for shape analysis of 2D closed surfaces.  ...  Bi-orthogonal spherical wavelets have been shown to be powerful tools in the segmentation and shape analysis of 2D closed surfaces, but unfortunately they suffer from aliasing problems and are therefore  ...  Based on the image segmentation, we reconstruct and refine the white/gray matter boundary, and use these white matter surfaces in our cortical shape analysis.  ... 
doi:10.1109/iccv.2007.4409137 pmid:26082677 pmcid:PMC4465965 fatcat:r43a3ncfmzflfjx56a5ewiwpza

Shape Analysis with Overcomplete Spherical Wavelets [chapter]

B. T. Thomas Yeo, Peng Yu, P. Ellen Grant, Bruce Fischl, Polina Golland
2008 Lecture Notes in Computer Science  
In this paper, we explore the use of over-complete spherical wavelets in shape analysis of closed 2D surfaces.  ...  Here we present a detailed formulation of over-complete wavelets, as well as shape analysis experiments of cortical folding development using them.  ...  Introduction In this paper, we explore the use of overcomplete spherical wavelets [1, 16] for shape analysis of closed 2D surfaces.  ... 
doi:10.1007/978-3-540-85988-8_56 fatcat:ptu4sso7a5fj7kqpdkfh5rffqu

Shape-based Discrimination and Classification of Cortical Surfaces

Peng Yu, Xiao Han, F. Segonne, A.K. Liu, R.A. Poldrack, P. Golland, B. Fischl
2006 18th International Conference on Pattern Recognition (ICPR'06)  
A procedure is developed to apply this method to cortical surface models, and promising results are acquired on synthetic and real data.  ...  In this paper, we propose the use of spherical wavelet transformation to extract shape features, as it can characterize the underlying functions in a local fashion in both space and frequency, in contrast  ...  Tools developed by the FreeSurfer group are used for pre-processing, which includes cortical surface segmentation, cortical surface reconstruction, spherical mapping and registration based on this spherical  ... 
doi:10.1109/icpr.2006.1052 dblp:conf/icpr/YuHSLPGF06 fatcat:lmv5x73ofzax5kb3z3zb3w64uu

Detection of focal changes in human cortical thickness: Spherical wavelets versus Gaussian smoothing

Jorge L. Bernal-Rusiel, Mercedes Atienza, Jose L. Cantero
2008 NeuroImage  
But slight changes in cortical thickness at preclinical stages are typically masked by effects of the Gaussian kernel smoothing on the cortical surface shape descriptors.  ...  Results revealed a better sensitivityspecificity trade-off when using wavelet-based methods as compared to Gaussian smoothing in both the whole neocortex (p b 10 − 7 ) and cortical region-based statistical  ...  Laurent Jacques (Institut de Physique Théorique, Université Catholique de Louvain, Belgium) for providing the Matlab code of the pyramidal wavelet decomposition and useful comments on spherical wavelets  ... 
doi:10.1016/j.neuroimage.2008.03.022 pmid:18474434 fatcat:vovjrdtylrh2znzrsizy3pobfq

Wavelet-Based Representation of Biological Shapes [chapter]

Bin Dong, Yu Mao, Ivo D. Dinov, Zhuowen Tu, Yonggang Shi, Yalin Wang, Arthur W. Toga
2009 Lecture Notes in Computer Science  
Our results are very promising and, comparing to the spherical-wavelets method, our approach is more compact and allows utilization of diverse wavelet bases.  ...  We apply the new technique to multi-spectral shape decomposition and study shape variability between populations using brain cortical and subcortical surfaces.  ...  Information on the National Centers for Biomedical Computing can be obtained from http://nihroadmap.nih.gov/bioinformatics.  ... 
doi:10.1007/978-3-642-10331-5_89 fatcat:olk6tgxvirbklhijwndkixjr44

Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets

Dingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li
2017 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)  
In this paper, we propose a curvature-based multi-scale method using spherical wavelets to map the complicated longitudinal changes of cortical folding during infancy.  ...  However, little is known about how the cortical folding, which can be characterized on different scales, develops in the first two postnatal years.  ...  Cortical Folding Analysis using Spherical Wavelets Over-complete Spherical Wavelets The mean curvature map, which partly encodes the geometry of the cortical surface, was calculated on each inner cortical  ... 
doi:10.1109/isbi.2017.7950476 dblp:conf/isbi/DuanRXLGSL17 fatcat:ueqct6wv4zh7pnjww2iswerz7y

LONGITUDINAL MULTI-SCALE MAPPING OF INFANT CORTICAL FOLDING USING SPHERICAL WAVELETS

Dingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li
2017 IEEE International Symposium on Biomedical Imaging  
In this paper, we propose a curvature-based multi-scale method using spherical wavelets to map the complicated longitudinal changes of cortical folding during infancy.  ...  However, little is known about how the cortical folding, which can be characterized on different scales, develops in the first two postnatal years.  ...  Cortical Folding Analysis using Spherical Wavelets Over-complete Spherical Wavelets- The mean curvature map, which partly encodes the geometry of the cortical surface, was calculated on each inner cortical  ... 
pmid:29098066 pmcid:PMC5663317 fatcat:6j6lzt5bxvejpefl5qffyijxne

Multi-resolution statistical analysis on graph structured data in neuroimaging

Won Hwa Kim, Vikas Singh, Moo K. Chung, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson
2015 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)  
the harmonics literature to derive an effective multi-scale descriptor using wavelets on graphs that characterize the local context at each data point.  ...  Using this descriptor, we demonstrate experiments where we identify significant differences between AD and control populations using cortical surface data and tractography derived graphs/networks.  ...  We show via various experiments on surface and signal smoothing on brain surfaces, statistical analysis on cortical thickness on surfaces and brain connectivity, that statistical power can be improved  ... 
doi:10.1109/isbi.2015.7164173 pmid:27284387 pmcid:PMC4895919 dblp:conf/isbi/KimSCABJ15 fatcat:l75mdijoenhsnpy4fycp577mue

Cortical Foldingprints for Infant Identification

Dingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li
2019 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)  
To this end, we propose a novel discriminative descriptor of regional cortical folding based on multi-scale analysis of curvature maps via spherical wavelets, called FoldingPrint.  ...  Experiments are carried out on a large longitudinal dataset with 1,141 MRI scans from 472 infants.  ...  Each spherical cortical surface was aligned onto the age-matched template in the UNC 4D infant cortical surface atlas [5, 7] using Spherical Demons [8] .  ... 
doi:10.1109/isbi.2019.8759429 pmid:31938450 pmcid:PMC6959198 fatcat:3aa7hzy62bezrbdey3ocriclsa

Assessing Regularity and Variability of Cortical Folding Patterns of Working Memory ROIs [chapter]

Hanbo Chen, Tuo Zhang, Kaiming Li, Xintao Hu, Lei Guo, Tianming Liu
2011 Lecture Notes in Computer Science  
Specifically, we used a set of shape attributes for each ROI base on multiple resolution decomposition of cortical surfaces, and described the meso-scale folding pattern via a polynomial-based approach  ...  For instance, neuroscientists frequently apply their domain knowledge to identify brain Regions of Interests (ROIs) based on cortical folding patterns.  ...  In this spherical wavelet transform process, a set of wavelet coefficient samples on the subdivided icosahedron grid are obtained from the input shape described as a set of mesh vertices, which corresponds  ... 
doi:10.1007/978-3-642-23629-7_39 fatcat:bcfh2z2iv5ca3bcwgvm3bpjbau

Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness

Won Hwa Kim, Vikas Singh, Moo K. Chung, Chris Hinrichs, Deepti Pachauri, Ozioma C. Okonkwo, Sterling C. Johnson
2014 NeuroImage  
Statistical analysis on arbitrary surface meshes such as the cortical surface is an important approach to understanding brain diseases such as Alzheimer's disease (AD).  ...  Our goal in this paper is to make group analysis of signals on surfaces more sensitive.  ...  Instead of mapping the data onto a sphere, as in traditional spherical harmonic (SPHARM) based methods, our multi-scale shape descriptor is directly defined on the cortical surface graph itself, completely  ... 
doi:10.1016/j.neuroimage.2014.02.028 pmid:24614060 pmcid:PMC4095794 fatcat:p3cbp4oiwff7vhooq5jdeoylie

Guest editorial: Special Issue on Computational Neuroanatomy

James Gee, Paul Thompson
2007 IEEE Transactions on Medical Imaging  
Related work by Yu et al. applies a spherical wavelet transformation to extract cortical shape features.  ...  Kao et al. propose a new framework to identify and model the major cortical sulci-notoriously variable landmarks in the cortical surface-which they extract with a sequence of steps based on depth maps,  ... 
doi:10.1109/tmi.2007.895009 fatcat:6ud6g36ka5czpirs4vehlqiq5e

2007 Index IEEE Transactions on Medical Imaging Vol. 26

2007 IEEE Transactions on Medical Imaging  
-C., +, TMI Jan. 2007 84-92 Paediatrics Cortical Surface Shape Analysis Based on Spherical Wavelets.  ...  Jafari-Khouzani, K., +, TMI Oct. 2007 1401-1411 Cortical Surface Shape Analysis Based on Spherical Wavelets.  ... 
doi:10.1109/tmi.2007.912905 fatcat:4kodjew23ffjvebqt5fopjo5oa
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