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BrainPrint : Identifying Subjects by Their Brain [chapter]

Christian Wachinger, Polina Golland, Martin Reuter
2014 Lecture Notes in Computer Science  
We derive a robust classifier for this representation that identifies the subject in a new scan, based on a database of brain scans.  ...  BrainPrint captures shape information of an ensemble of cortical and subcortical structures by solving the 2D and 3D Laplace-Beltrami operator on triangular (boundary) and tetrahedral (volumetric) meshes  ...  We thank Anna Rieckmann for revising the manuscript and the Alzheimer's Disease Neuroimaging Initiative (ADNI) for image data.  ... 
doi:10.1007/978-3-319-10443-0_6 pmid:25320780 pmcid:PMC4216735 fatcat:g3fskymujrgltgl6o2uj365kfq

Conformal invariants for multiply connected surfaces: Application to landmark curve-based brain morphometry analysis

Jie Shi, Wen Zhang, Miao Tang, Richard J. Caselli, Yalin Wang
2017 Medical Image Analysis  
We also applied the new shape indices to analyze brain morphometry abnormalities associated with Alzheimer's disease (AD).  ...  Experimental results with synthetic data and 3D MRI data demonstrate that our method is invariant under isometric transformations and able to detect brain surface abnormalities.  ...  Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense  ... 
doi:10.1016/j.media.2016.09.001 pmid:27639215 pmcid:PMC5099092 fatcat:qczplwszpzdppanhoom5wiwvaa

BrainPrint: A discriminative characterization of brain morphology

Christian Wachinger, Polina Golland, William Kremen, Bruce Fischl, Martin Reuter
2015 NeuroImage  
BrainPrint captures shape information of an ensemble of cortical and subcortical structures by solving the eigenvalue problem of the 2D and 3D Laplace-Beltrami operator on triangular (boundary) and tetrahedral  ...  We highlight four applications for BrainPrint in this article: (i) subject identification, (ii) age and sex prediction, (iii) brain asymmetry analysis, and (iv) potential genetic influences on brain morphology  ...  ), the National Institute for Neurological Disorders and Stroke (R01 NS052585-01, 1R21NS072652-01, 1R01NS070963, R01NS083534), and was made possible by the resources provided by Shared Instrumentation  ... 
doi:10.1016/j.neuroimage.2015.01.032 pmid:25613439 pmcid:PMC4340729 fatcat:rdrno3wxanc4zmh4hl3zgmn65e

The individuality of shape asymmetries of the human cerebral cortex [article]

Yu-Chi Chen, Aurina Arnatkeviciute, Eugene McTavish, James Pang, Chao Suo, Alex Fornito, Kevin M. Aquino, The Alzheimer's Disease Neuroimaging Initiative
2021 bioRxiv   pre-print
Cortical asymmetries are particularly pronounced in humans and have important implications for brain function and disease.  ...  We further demonstrate that while unihemispheric shape descriptors show significant heritability at coarse scales, the SAS are determined primarily by unique environmental effects across all scales considered  ...  The shape asymmetry signature The LBO eigenvalues measure the intrinsic geometry of an object and are isometry invariant.  ... 
doi:10.1101/2021.09.14.460242 fatcat:q3jekvct3jgnnk2tpwb6ydndpe

Computational Symmetry in Computer Vision and Computer Graphics

Yanxi Liu
2008 Foundations and Trends in Computer Graphics and Vision  
detection algorithms along with its first quantitative benchmark, a diverse set of real world applications, suggestions for future directions and a comprehensive reference list.  ...  Though the term computational symmetry was formally defined a decade ago by the first author, referring to algorithmic treatment of symmetries, seeking symmetry from digital data has been attempted for  ...  Thanks also go to Jingchen Liu, Kyle Brocklehurst, and Seungkyu Lee for collecting citations on symmetry related papers, and Jingchen Liu for creating Figure 1  ... 
doi:10.1561/0600000008 fatcat:t4x5zq3n5jcjnktzlft63eblnm

Statistical analysis of ensembles of nonregular shapes

Manasi prakash Datar
2016
For instance, studies of degenerative conditions such as autism and Alzheimer's disease benefit from the analysis of local cortical thickness measurements of the brain and rely on shape matching for valid  ...  descriptions of shapes and might be useful to obtain dense, isometry-invariant correspondences for shape populations.  ...  A novel set of numerical techniques for fast distance computa tions on curved surfaces is used to extract these distances.  ... 
doi:10.26053/0h-zkb0-5e00 fatcat:4a23lpnqvrbqhc5hrzxul6r4fu

Quantification of cortical folding using MR image data

Robert Wright, Daniel Rueckert, Paul Aljabar, Engineering And Physical Sciences Research Council
2016
Mean surface templates were constructed for both fetuses and preterms allowing a preliminary comparison of mean cortical shape over the postmenstrual age range 28-36 weeks.  ...  A spectral-based method is outlined for constructing a spatio-temporal surface atlas (a sequence of mean cortical surface meshes for weekly intervals).  ...  Without any detectable surface sulcation, from some shape descriptor (e.g. mean curvature), the spectral properties alone can be used to determine the correspondences.  ... 
doi:10.25560/39037 fatcat:zmqceawl2nh6bj55spmlctnq2y

On incorporating inductive biases into deep neural networks [article]

Sameera Ramasinghe, University, The Australian National
2022
On the contrary, armed with increasingly cheaper hardware and abundant data, deep learning has made unprecedented progress during the past decade, showcasing incredible performance on a diverse set of  ...  Consequently, a recent hybrid trend is surfacing that aims to blend structured representations and substantial inductive bias into deep models, with the hope of improving them.  ...  Lars Petersson, for their continuous support of my Ph.D. research. Without their invaluable knowledge in computer vision, feedback, and guidance, I would not have been able to complete my studies.  ... 
doi:10.25911/ph29-x543 fatcat:m5rkvjyy65hunkbp56qvgkpgqi

Robust methods for medical image registration with application in clinical diagnosis

Andre Filipe Santos Ribeiro, David Nutt, John McGonigle, Edmond J. Safra Philanthropic Foundation
2018
In this thesis several of these issues are addressed by introducing: a framework to validate non-linear registration methods; a robust and fast algorithm for non-linear registration; and validating the  ...  Current techniques used for non-linear image registration validation are explored, and it is shown that techniques based on label overlap are both not theoretically valid while also having poor accuracy  ...  analysis of form, such as detecting changes in brain shape and size, or the precise alignment of the anatomy required for functional group studies.  ... 
doi:10.25560/58011 fatcat:5wrx57nkpvfwleukzmsdqjlntm