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Generalized Tensor-Based Morphometry of HIV/AIDS Using Multivariate Statistics on Deformation Tensors

N. Lepore, C. Brun, Yi-Yu Chou, Ming-Chang Chiang, R.A. Dutton, K.M. Hayashi, E. Luders, O.L. Lopez, H.J. Aizenstein, A.W. Toga, J.T. Becker, P.M. Thompson
2008 IEEE Transactions on Medical Imaging  
This paper investigates the performance of a new multivariate method for tensor-based morphometry (TBM).  ...  This increased detection sensitivity may empower drug trials and large-scale studies of disease that use tensor-based morphometry.  ...  CONCLUSION Here we used a combination of tensor-based morphometry, metrics on Riemannian manifolds, and multivariate statistics to detect systematic differences in anatomy between HIV/AIDS patients and  ... 
doi:10.1109/tmi.2007.906091 pmid:18270068 pmcid:PMC2832297 fatcat:y7n5w44m6jbdngl6a2xkg4rg74

Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular changes in HIV/AIDS

Yalin Wang, Jie Zhang, Tony F. Chan, Arthur W. Toga, Paul M. Thompson
2009 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
We apply multivariate tensor-based morphometry to study lateral ventricular surface abnormalities associated with HIV/AIDS.  ...  Computational anatomy studies may therefore benefit from surface parameterization using differential forms and tensor-based morphometry, in the log-Euclidean domain, on the resulting surface tensors.  ...  Multivariate Tensor-Based Morphometry Study on Lateral Ventricular Surface of HIV/AIDS In our experiments, we compared ventricular surface models extracted from 3D brain MRI scans of 11 HIV/AIDS individuals  ... 
doi:10.1109/isbi.2009.5193000 dblp:conf/isbi/WangZCTT09 fatcat:3eprbixsyjdafi6rvhxbo2jh6q

Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular abnormalities in HIV/AIDS

Yalin Wang, Jie Zhang, Boris Gutman, Tony F. Chan, James T. Becker, Howard J. Aizenstein, Oscar L. Lopez, Robert J. Tamburo, Arthur W. Toga, Paul M. Thompson
2010 NeuroImage  
Here we developed a new method, called multivariate tensor-based surface morphometry (TBM), and applied it to study lateral ventricular surface differences associated with HIV/AIDS.  ...  Multivariate statistics on the local tensors gave better effect sizes for detecting group differences, relative to other TBM-based methods including analysis of the Jacobian determinant, the largest and  ...  Comparison of various tensor-based morphometry results on a group of lateral ventricular surfaces from 11 HIV/AIDS patients and 8 matched control subjects.  ... 
doi:10.1016/j.neuroimage.2009.10.086 pmid:19900560 pmcid:PMC2859967 fatcat:5uglffpjzjdipibbo5lbevm7xu

Multivariate Statistics of the Jacobian Matrices in Tensor Based Morphometry and Their Application to HIV/AIDS [chapter]

Natasha Lepore, Caroline A. Brun, Ming-Chang Chiang, Yi-Yu Chou, Rebecca A. Dutton, Kiralee M. Hayashi, Oscar L. Lopez, Howard J. Aizenstein, Arthur W. Toga, James T. Becker, Paul M. Thompson
2006 Lecture Notes in Computer Science  
Tensor-based morphometry (TBM) is widely used in computational anatomy as a means to understand shape variation between structural brain images.  ...  We study the brain morphology of 26 HIV/AIDS patients and 14 matched healthy control subjects using our method.  ...  This research was supported by the National Institute on Aging (AG021431 and AG016570), the National Library of Medicine, the National Institute for Biomedical Imaging and Bioengineering, the National  ... 
doi:10.1007/11866565_24 fatcat:irzi7njdvfa6rotdrs35c4xu6u

3D pattern of brain atrophy in HIV/AIDS visualized using tensor-based morphometry

Ming-Chang Chiang, Rebecca A. Dutton, Kiralee M. Hayashi, Oscar L. Lopez, Howard J. Aizenstein, Arthur W. Toga, James T. Becker, Paul M. Thompson
2007 NeuroImage  
Here we used tensor-based morphometry (TBM) to visualize brain deficits and clinical/anatomical correlations in HIV/AIDS.  ...  To perform TBM, we developed a new MRI-based analysis technique that uses fluid image warping, and a new α-entropy-based information-theoretic measure of image correspondence, called the Jensen-Rényi divergence  ...  M.C.C. was also generously supported by a fellowship from the Government of Taiwan. J.T.B. was the recipient of a Research Scientist Development Award-Level II (MH01077).  ... 
doi:10.1016/j.neuroimage.2006.08.030 pmid:17035049 pmcid:PMC3197835 fatcat:jdjbnpbzzzfahbpuneyb3ykcbe

Multivariate Tensor-Based Brain Anatomical Surface Morphometry via Holomorphic One-Forms [chapter]

Yalin Wang, Tony F. Chan, Arthur W. Toga, Paul M. Thompson
2009 Lecture Notes in Computer Science  
Here we introduce multivariate tensor-based surface morphometry using holomorphic one-forms to study brain anatomy.  ...  Multivariate statistics on the local tensors outperformed other TBM methods including analysis of the Jacobian determinant, the largest eigenvalue, or the pair of eigenvalues, of the surface Jacobian matrix  ...  This work was funded by National Institute of Health through the NIH Roadmap for Medical Research, Grant U54 RR021813 entitled Center for Computational Biology (CCB).  ... 
doi:10.1007/978-3-642-04268-3_42 fatcat:nntn6m3lgfh5domwoe5pdhqt2u

Shape analysis with multivariate tensor-based morphometry and holomorphic differentials

Yalin Wang, Tony F Chan, Arthur W Toga, Paul M Thompson
2009 2009 IEEE 12th International Conference on Computer Vision  
In this paper, we propose multivariate tensor-based surface morphometry, a new method for surface analysis, using holomorphic differentials; we also apply it to study brain anatomy.  ...  Multivariate statistics on the local tensors outperformed other TBM methods including analysis of the Jacobian determinant, the largest eigenvalue, or the pair of eigenvalues, of the surface Jacobian matrix  ...  Comparison of various tensor-based morphometry results on a group of lateral ventricular surfaces from 11 HIV/AIDS patients and 8 matched control subjects.  ... 
doi:10.1109/iccv.2009.5459422 dblp:conf/iccv/WangCTT09 fatcat:yoljnwheqjenfk4eij2aszsi24

Improving fluid registration through white matter segmentation in a twin study design

Yi-Yu Chou, Natasha Lepore, Caroline Brun, Marina Barysheva, Katie McMahon, Greig I. de Zubicaray, Margaret J. Wright, Arthur W. Toga, Paul M. Thompson, Benoit M. Dawant, David R. Haynor
2010 Medical Imaging 2010: Image Processing  
This gives empirical evidence in favor of pre-segmenting images for tensor-based morphometry.  ...  When these substructure volumes are quantified using tensor-based morphometry, improved registration can be defined based on which method gives higher MZ twin correlations when compared to DZs, as registration  ...  Many attempts to boost effect sizes in TBM have focused on computing multivariate statistics from the deformation tensor [3] , or improving the deformation models to include different regularization schemes  ... 
doi:10.1117/12.843642 dblp:conf/miip/ChouLBBMZWTT10 fatcat:llgxjgjdnjdkzhsvtawjpylanq

A Multivariate Surface-Based Analysis of the Putamen in Premature Newborns: Regional Differences within the Ventral Striatum

Jie Shi, Yalin Wang, Rafael Ceschin, Xing An, Yi Lao, Douglas Vanderbilt, Marvin D. Nelson, Paul M. Thompson, Ashok Panigrahy, Natasha Leporé, Xi-Nian Zuo
2013 PLoS ONE  
Vertex-based statistical comparisons between the two groups were performed via four methods: univariate and multivariate tensor-based morphometry, the commonly used medial axis distance, and a combination  ...  of the last two statistics.  ...  In larger studies in adults, multivariate tensor-based morphometry outperformed univariate methods in detecting brain differences in lateral ventricles in HIV/AIDS patients [17] , and in a large Alzheimer's  ... 
doi:10.1371/journal.pone.0066736 pmid:23843961 pmcid:PMC3700976 fatcat:3ml7muhomfcill3zc5i3zeo55e

A Framework for Creating Population Specific Multimodal Brain Atlas Using Clinical T1 and Diffusion Tensor Images [chapter]

Vikash Gupta, Grégoire Malandain, Nicholas Ayache, Xavier Pennec
2016 Mathematics and Visualization  
We show the effectiveness of such a template using voxelwise multivariate statistical analysis on population based group studies on HIV/AIDS patients.  ...  Spatial normalization is one of the most important steps in population based statistical analysis of brain images.  ...  However in [1] and [2] , the authors have shown that choosing a generic template biases the statistical presently at Imaging Genetics Center, University of Southern California presently at MORPHENE  ... 
doi:10.1007/978-3-319-28588-7_9 fatcat:camsgojy55gtvfogi743xbmngi

Applying Surface-Based Morphometry to Study Ventricular Abnormalities of Cognitively Unimpaired Subjects Prior to Clinically Significant Memory Decline

Qunxi Dong, Wen Zhang, Cynthia M. Stonnington, Jianfeng Wu, Boris A. Gutman, Kewei Chen, Yi Su, Leslie C. Baxter, Paul M. Thompson, Eric M. Reiman, Richard J. Caselli, Yalin Wang
2020 NeuroImage: Clinical  
VMAS contains an automated segmentation approach and surface-based multivariate morphometry statistics. We applied VMAS to two independent datasets of cognitively unimpaired (CU) groups.  ...  Here we introduce a ventricular morphometry analysis system (VMAS) that generates a whole connected 3D ventricular shape model and encodes a great deal of ventricular surface deformation information that  ...  ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following:  ... 
doi:10.1016/j.nicl.2020.102338 pmid:32683323 pmcid:PMC7371915 fatcat:65eex33j6ndtjpxge6jmbfw6l4

Mapping brain abnormalities in boys with autism

Caroline C. Brun, Rob Nicolson, Natasha Leporé, Yi-Yu Chou, Christine N. Vidal, Timothy J. DeVito, Dick J. Drost, Peter C. Williamson, Nagalingam Rajakumar, Arthur W. Toga, Paul M. Thompson
2009 Human Brain Mapping  
To investigate the profile of these alterations in 3D, we mapped brain volumetric differences using a relatively new method, tensor-based morphometry (TBM). 3D T1-weighted brain MRIs of 24 male children  ...  By analyzing the applied deformations statistically point-by-point, we detected significant gray matter volume deficits in bilateral parietal, left temporal and left occipital lobes (p=0.038, corrected  ...  Acknowledgments This work was funded by grants from the National Institute of Aging, the National Institute for Biomedical Imaging and Bioengineering, and the National Center for Research Resources (AG016570  ... 
doi:10.1002/hbm.20814 pmid:19554561 pmcid:PMC2790012 fatcat:y5s43ym4ebdsvch6ve73o4cn4a

Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry

Jie Shi, Cynthia M. Stonnington, Paul M. Thompson, Kewei Chen, Boris Gutman, Cole Reschke, Leslie C. Baxter, Eric M. Reiman, Richard J. Caselli, Yalin Wang
2015 NeuroImage  
Here we describe a novel ventricular morphometry system based on the hyperbolic Ricci flow method and tensor-based morphometry (TBM) statistics.  ...  The TBM statistics encode a great deal of surface deformation information that could be inaccessible or overlooked by other methods.  ...  Surface multivariate tensor-based morphometry In some of our prior studies (Wang et al., , 2010 , the multivariate tensor-based morphometry (mTBM) was proved to be more powerful for checking group differences  ... 
doi:10.1016/j.neuroimage.2014.09.062 pmid:25285374 pmcid:PMC4252650 fatcat:35wpd2c4dnfsxjdpp3ogf2f3pa

Mapping the regional influence of genetics on brain structure variability — A Tensor-Based Morphometry study

Caroline C. Brun, Natasha Leporé, Xavier Pennec, Agatha D. Lee, Marina Barysheva, Sarah K. Madsen, Christina Avedissian, Yi-Yu Chou, Greig I. de Zubicaray, Katie L. McMahon, Margaret J. Wright, Arthur W. Toga (+1 others)
2009 NeuroImage  
As part of an MRI study that will 24 scan 1150 twins, we applied Tensor-^Based Morphometry to compute morphometric differences in 23 pairs of 25 identical twins and 23 pairs of same-^sex fraternal twins  ...  All 92 twins'^3D 26 brain MRI scans were nonlinearly registered to a common space using a Riemannian fluid-^based warping 27 approach to compute volumetric differences across subjects.  ...  Proceedings, 10th International conference on Medical Image Generalized tensor-^based morphometry of HIV/AIDS using multivariate statistics on deformation tensors. IEEE Trans. Med.  ... 
doi:10.1016/j.neuroimage.2009.05.022 pmid:19446645 pmcid:PMC2859973 fatcat:qggoes6pdzetppodeocvjdfjoi

Shape Analysis of the Human Brain: A Brief Survey

Matthew J. Nitzken, Manuel F. Casanova, Georgy Gimelfarb, Tamer Inanc, Jacek M. Zurada, Ayman El-Baz
2014 IEEE journal of biomedical and health informatics  
distances, Procrustes analysis, deformable models, spherical harmonics, deformation morphometry, as well as other less widely used techniques.  ...  The survey outlines and compares popular computational techniques for quantitative description of shapes of major structural parts of the human brain, including medial axis and skeletal analysis, geodesic  ...  Lepore also explored the use of multivariate tensors and discussed how increasing the number of parameters for these tensors could improve the multivariate statistics.  ... 
doi:10.1109/jbhi.2014.2298139 pmid:25014938 fatcat:b6so5qoklfdgnh4uw7y5r7dwbe
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