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Large Deformation Diffeomorphism and Momentum Based Hippocampal Shape Discrimination in Dementia of the Alzheimer type

Lei Wang, Faisal Beg, Tilak Ratnanather, Can Ceritoglu, Laurent Younes, John C. Morris, John G. Csernansky, Michael I. Miller
2007 IEEE Transactions on Medical Imaging  
We apply this approach to a study of dementia of the Alzheimer type (DAT).  ...  In large-deformation diffeomorphic metric mapping (LDDMM), the diffeomorphic matching of images are modeled as evolution in time, or a flow, of an associated smooth velocity vector field controlling the  ...  Large Deformation Diffeomorphism and Momentum Based Hippocampal Shape Discrimination in Dementia of the Alzheimer type of 0-D, 1-D, 2-D, and 3-D manifolds, a set of diffeomorphic transformations on , the  ... 
doi:10.1109/tmi.2006.887380 pmid:17427733 pmcid:PMC2848689 fatcat:lmkza6ko4jfupgr5ertna54cam

Metric Distances between Hippocampal Shapes Indicate Different Rates of Change over Time in Nondemented and Demented Subjects

Elvan Ceyhan, Mirza Faisal Beg, Can Ceritoglu, Lei Wang, John C. Morris, John G. Csernansky, Michael I. Miller, J. Tilak Ratnanather
2012 Current Alzheimer Research  
In this article, we use longitudinal morphometry (shape and size) measures of hippocampus in subjects with mild dementia of Alzheimer type (DAT) and nondemented controls in logistic discrimination.  ...  Morphometric differences with respect to a template hippocampus were measured by the metric distance obtained from the large deformation diffeomorphic metric mapping (LDDMM) algorithm.  ...  The authors thank the Clinical Core of the Alzheimer's Disease Research Center at Washington University for the clinical and cognitive assessments of the participants.  ... 
doi:10.2174/156720512803251138 pmid:21875412 pmcid:PMC3235259 fatcat:oawpt6xfk5bshf6ioislmviype

Baseline Shape Diffeomorphometry Patterns of Subcortical and Ventricular Structures in Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease

Xiaoying Tang, Dominic Holland, Anders M. Dale, Laurent Younes, Michael I. Miller
2015 Journal of Alzheimer's Disease  
The optimal predictor is obtained via a feature selection procedure applied to all of the 14 sets of shape features via linear discriminant analysis, resulting in a combination of the shape diffeomorphometry  ...  This predictor is based on the shape diffeomorphometry patterns of subcortical and ventricular structures (left and right amygdala, hippocampus, thalamus, caudate, putamen, globus pallidus, and lateral  ...  Dale is a founder and holds equity in CorTechs Labs, Inc, and also serves on its Scientific Advisory Board. Michael I. Miller  ... 
doi:10.3233/jad-141605 pmid:25318546 pmcid:PMC4474004 fatcat:2xo7mz6qoremhbsuomc3kgbldy

Parallel transport in diffeomorphisms distinguishes the time-dependent pattern of hippocampal surface deformation due to healthy aging and the dementia of the Alzheimer's type

Anqi Qiu, Laurent Younes, Michael I. Miller, John G. Csernansky
2008 NeuroImage  
Hippocampal surface structure was assessed at twice 2 years apart in 26 nondemented subjects (CDR 0), in 18 subjects with early dementia of Alzheimer type (DAT, CDR 0.5), and in 9 subjects who converted  ...  We used parallel transport in diffeomorphisms under the large deformation diffeomorphic metric mapping framework to translate within-subject deformation of the hippocampal surface as represented in the  ...  Morris for reading the manuscript.  ... 
doi:10.1016/j.neuroimage.2007.11.041 pmid:18249009 pmcid:PMC3517912 fatcat:7eopulynr5cfbevzhlybno3ffa

Quantization and analysis of hippocampal morphometric changes due to dementia of Alzheimer type using metric distances based on large deformation diffeomorphic metric mapping

Elvan Ceyhan, Mirza Faisal Beg, Can Cerito˜glu, Lei Wang, John C. Morris, John G. Csernansky, Michael I. Miller, J.Tilak Ratnanather
2011 Computerized Medical Imaging and Graphics  
For illustrative purposes we consider changes in hippocampal morphometry (shape and size) due to very mild dementia of the Alzheimer type (DAT).  ...  The metric distance obtained from the large deformation diffeomorphic metric mapping (LDDMM) algorithm is used to quantize changes in morphometry of brain structures due to neuropsychiatric diseases.  ...  Acknowledgments We would like to thank anonymous referees, whose constructive comments and suggestions greatly improved the presentation and flow of the paper.  ... 
doi:10.1016/j.compmedimag.2011.01.005 pmid:21345652 pmcid:PMC3075359 fatcat:mtk46onizbe2fkpfkcnzipyn2m

2007 Index IEEE Transactions on Medical Imaging Vol. 26

2007 IEEE Transactions on Medical Imaging  
Bao, Y., +, TMI May 2007 686-695 Large Deformation Diffeomorphism and Momentum Based Hippocampal Shape Discrimination in Dementia of the Alzheimer type.  ...  ., +, TMI Jan. 2007 15-30 Large Deformation Diffeomorphism and Momentum Based Hippocampal Shape Discrimination in Dementia of the Alzheimer type.  ... 
doi:10.1109/tmi.2007.912905 fatcat:4kodjew23ffjvebqt5fopjo5oa

Shape abnormalities of subcortical and ventricular structures in mild cognitive impairment and Alzheimer's disease: Detecting, quantifying, and predicting

Xiaoying Tang, Dominic Holland, Anders M. Dale, Laurent Younes, Michael I. Miller
2014 Human Brain Mapping  
A subsequent linear discriminant analysis on the principal component values of hippocampus, amygdala, and ventricle leads to correct classification of 88% HC subjects and 86% AD subjects.  ...  Shape abnormalities of subcortical and ventricular structures in mild cognitive impairment and Alzheimer's disease: detecting, quantifying, and predicting.  ...  The terms of this arrangement have been reviewed and approved by the Johns Hopkins University as well as the University of California, San Diego in accordance with their conflict of interest policies.  ... 
doi:10.1002/hbm.22431 pmid:24443091 pmcid:PMC4474087 fatcat:fliraadu5rewph6ecbi65vq6om

Analysis of Metric Distances and Volumes of Hippocampi Indicates Different Morphometric Changes over Time in Dementia of Alzheimer Type and Nondemented Subjects [article]

Elvan Ceyhan, Can Ceritoglu, M. Faisal Beg, Lei Wang, John C. Morris, John G. Csernansky, Michael I. Miller, John Tilak Ratnanather
2008 arXiv   pre-print
In this article, we analyze the morphometry of hippocampus in subjects with very mild dementia of Alzheimer's type (DAT) and nondemented controls and how it changes over a two-year period.  ...  Morphometric differences with respect to a template hippocampus were measured by the metric distance obtained from the Large Deformation Diffeomorphic Metric Mapping (LDDMM) algorithm which was previously  ...  The pattern of hippocampal deformities in subjects with DAT was largely symmetric and suggested damage to the CA1 hippocampal subfield [74] .  ... 
arXiv:0806.1473v2 fatcat:fuscw4yo3bauhai56moocy6njy

Automated ventricular mapping with multi-atlas fluid image alignment reveals genetic effects in Alzheimer's disease

Yi-Yu Chou, Natasha Leporé, Greig I. de Zubicaray, Owen T. Carmichael, James T. Becker, Arthur W. Toga, Paul M. Thompson
2008 NeuroImage  
In surface-based statistical maps, we detected more widespread and intense anatomical deficits as we increased the number of atlases.  ...  We averaged the meshes extracted for each 3D MR data set, and combined the automated segmentations with a radial mapping approach to localize ventricular shape differences in patients.  ...  The authors are grateful to Stephen Rose at the University of Queensland Center for Magnetic Resonance for his work acquiring the MRI scan data.  ... 
doi:10.1016/j.neuroimage.2007.11.047 pmid:18222096 pmcid:PMC2720413 fatcat:s6rrvfeahfdzvcqugilaw6ehsq

A Survey on Classification algorithms of Brain Images in Alzheimer's disease based on Feature Extraction techniques

Ruhul Amin Hazarika, Arnab Kumar Maji, Samarendra Nath Sur, Babu Sena Paul, Debdatta Kandar
2021 IEEE Access  
A multidimensional classification approach to classify AD vs CN, and MCI vs CN subjects, based on the hippocampal shape, is proposed in the literature [152] .  ...  For classification, the authors have used random forest, linear SVM, and the k-Nearest Neighbor (kNN). Based on brain structural changes, and hippocampal shape, G.  ... 
doi:10.1109/access.2021.3072559 fatcat:cc4ffd325naozaxs63geaut76i

ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping [article]

Cher Bass, Mariana da Silva, Carole Sudre, Petru-Daniel Tudosiu, Stephen M. Smith, Emma C. Robinson
2020 arXiv   pre-print
We validate our method on 2D and 3D brain image datasets of dementia (ADNI dataset), ageing (UK Biobank), and (simulated) lesion detection.  ...  , where accurate mechanistic models of behaviours, or disease, require knowledge of all features discriminative of a trait.  ...  Traditional approaches for brain image analysis compare data in a global average template space, estimated via smooth (and ideally diffeomorphic) deformations [2, 12, 13, 15, 18, 44] .  ... 
arXiv:2006.08287v2 fatcat:7pdez3ngnfagpe23obsagxnjd4

Multivariate regression of shapes via deformation momenta: application to quantifying brain atrophy in aging and dementia

Nikhil Pratap Singh
2015
At its core, computational anatomy is based on the representation of anatomical shape and its variability as elements of nonflat manifold of diffeomorphisms with an associated Riemannian structure.  ...  This dissertation contributes two critical missing pieces for statistics in diffeomorphisms: (1) multivariate regression models for cross-sectional study of shapes, and (2) generalization of classical  ...  (b) it summarizes the nonlinear, large deformation information of shape variability, and (c) it is a compact and unique representation of the complete geodesic path in diffeomorphisms.  ... 
doi:10.26053/0h-w7q4-9m00 fatcat:fjfqotcdbrgl5feaxycnqsvdlm

Robust multi-structure segmentation of magnetic resonance brain images

Christian Ledig, Daniel Rueckert, European Union
2016
The methods are employed to perform a cross-sectional and a longitudinal analysis of a large cohort of Alzheimer's disease (AD) patients.  ...  The presented methodology is robust in the presence of disease-related atrophy or severe brain deformation. The proposed algorithms are evaluated on widely used reference datasets.  ...  In Wang et al. (2003) the authors used a deformation based approach to confirm significant hippocampal shape and volume differences between clinical groups of varying severity of dementia as measured  ... 
doi:10.25560/28959 fatcat:c63ztanfoja7dg7mucveidfggi

Machine learning for image-based classification of Alzheimer's disease

Katherine Rachel Gray, Daniel Rueckert, Alexander Hammers, Engineering And Physical Sciences Research Council
2013
Random forests provide consistent similarities for multiple modalities, facilitating the combination of different types of features.  ...  Multi-region analysis of MRI acquired at a single timepoint is used to show volumetric differences in cognitively normal individuals differing in amyloid-based risk status for the development of Alzheimer's  ...  To conserve energy and momentum, the photons must be emitted in opposite directions and each with an energy of 511 keV.  ... 
doi:10.25560/10522 fatcat:2bspb6xjdfgnda6urofppg6w3m