Computing Brain Change over Time
暂无分享,去创建一个
[1] Christine Fennema-Notestine,et al. More “mapping” in brain mapping: Statistical comparison of effects , 2003, Human brain mapping.
[2] Karl J. Friston,et al. Diffeomorphic registration using geodesic shooting and Gauss–Newton optimisation , 2011, NeuroImage.
[3] Ulrich Ettinger,et al. Effects of acute dehydration on brain morphology in healthy humans , 2009, Human brain mapping.
[4] Chris Frost,et al. The analysis of repeated ‘direct’ measures of change illustrated with an application in longitudinal imaging , 2004, Statistics in medicine.
[5] Stefan Klöppel,et al. Multivariate models of inter-subject anatomical variability , 2011, NeuroImage.
[6] Suzanne E. Welcome,et al. Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children , 2022 .
[7] Gerard R. Ridgway,et al. Temporal and spatial evolution of grey matter atrophy in primary progressive multiple sclerosis , 2014, NeuroImage.
[8] David Silbersweig,et al. Hippocampal structural changes across the menstrual cycle , 2008, Hippocampus.
[9] M. Albert,et al. Age at onset of Alzheimer's disease , 1994, Neurology.
[10] M. Unser,et al. Interpolation revisited [medical images application] , 2000, IEEE Transactions on Medical Imaging.
[11] D. Hill,et al. Medical image registration , 2001, Physics in medicine and biology.
[12] Balraj Naren,et al. Medical Image Registration , 2022 .
[13] Sébastien Ourselin,et al. An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease , 2012, NeuroImage.
[14] Alan C. Evans,et al. Brain development during childhood and adolescence: a longitudinal MRI study , 1999, Nature Neuroscience.
[15] C. Frost,et al. The structural involvement of the cingulate cortex in premanifest and early Huntington's disease , 2011, Movement disorders : official journal of the Movement Disorder Society.
[16] Brian B. Avants,et al. Bias in estimation of hippocampal atrophy using deformation-based morphometry arises from asymmetric global normalization: An illustration in ADNI 3 T MRI data , 2010, NeuroImage.
[17] Sébastien Ourselin,et al. MIRIAD—Public release of a multiple time point Alzheimer's MR imaging dataset , 2013, NeuroImage.
[18] Daniel Rueckert,et al. Spatial transformation of motion and deformation fields using nonrigid registration , 2004, IEEE Transactions on Medical Imaging.
[19] Guido Gerig,et al. Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data , 2013, International Journal of Computer Vision.
[20] Nick C. Fox,et al. The boundary shift integral: an accurate and robust measure of cerebral volume changes from registered repeat MRI , 1997, IEEE Transactions on Medical Imaging.
[21] P. Renshaw,et al. Lithium-Induced Gray Matter Volume Increase As a Neural Correlate of Treatment Response in Bipolar Disorder: A Longitudinal Brain Imaging Study , 2010, Neuropsychopharmacology.
[22] Emma B. Lewis,et al. Correction of differential intensity inhomogeneity in longitudinal MR images , 2004, NeuroImage.
[23] Josephine Barnes,et al. The progression of regional atrophy in premanifest and early Huntington's disease: a longitudinal voxel-based morphometry study , 2009, Journal of Neurology, Neurosurgery & Psychiatry.
[24] Stuart Crozier,et al. Apparent Fibre Density: A novel measure for the analysis of diffusion-weighted magnetic resonance images , 2012, NeuroImage.
[25] Nick C Fox,et al. Mapping the evolution of regional atrophy in Alzheimer's disease: Unbiased analysis of fluid-registered serial MRI , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[26] N. K. Focke,et al. Multi-site voxel-based morphometry — Not quite there yet , 2011, NeuroImage.
[27] Michael I. Miller,et al. Transport of Relational Structures in Groups of Diffeomorphisms , 2008, Journal of Mathematical Imaging and Vision.
[28] Thomas E. Nichols,et al. Preventing Alzheimer’s disease-related gray matter atrophy by B-vitamin treatment , 2013, Proceedings of the National Academy of Sciences.
[29] David Rey,et al. Symmetrization of the Non-rigid Registration Problem Using Inversion-Invariant Energies: Application to Multiple Sclerosis , 2000, MICCAI.
[30] J. L. Cox,et al. Evolution of different MRI measures in patients with active relapsing-remitting multiple sclerosis over 2 and 5 years: a case–control study , 2007, Journal of Neurology, Neurosurgery, and Psychiatry.
[31] Timothy Edward John Behrens,et al. Training induces changes in white matter architecture , 2009, Nature Neuroscience.
[32] D. Louis Collins,et al. Automatic 3‐D model‐based neuroanatomical segmentation , 1995 .
[33] Karl J. Friston,et al. Voxel-based morphometry of the human brain: Methods and applications , 2005 .
[34] Nick C. Fox,et al. Algorithms, atrophy and Alzheimer's disease: Cautionary tales for clinical trials , 2011, NeuroImage.
[35] Bogdan Draganski,et al. Neuroplasticity: Changes in grey matter induced by training , 2004, Nature.
[36] Raymond Salvador,et al. Validity of modulation and optimal settings for advanced voxel-based morphometry , 2014, NeuroImage.
[37] Karl J. Friston,et al. Automatic Differentiation of Anatomical Patterns in the Human Brain: Validation with Studies of Degenerative Dementias , 2002, NeuroImage.
[38] Nick C. Fox,et al. Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal Alzheimer's disease images , 2008, NeuroImage.
[39] Sebastien Ourselin,et al. Cerebral atrophy in mild cognitive impairment and Alzheimer disease , 2013, Neurology.
[40] C. Jack,et al. Serial PIB and MRI in normal, mild cognitive impairment and Alzheimer's disease: implications for sequence of pathological events in Alzheimer's disease , 2009, Brain : a journal of neurology.
[41] A. Dale,et al. Unbiased comparison of sample size estimates from longitudinal structural measures in ADNI , 2012, Human brain mapping.
[42] Stephen M. Smith,et al. Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis , 2002, NeuroImage.
[43] Wesley K. Thompson,et al. Bias in tensor based morphometry Stat-ROI measures may result in unrealistic power estimates , 2011, NeuroImage.
[44] Sébastien Ourselin,et al. Head size, age and gender adjustment in MRI studies: a necessary nuisance? , 2010, NeuroImage.
[45] C. Jack,et al. Longitudinal MRI findings from the vitamin E and donepezil treatment study for MCI , 2008, Neurobiology of Aging.
[46] Nick C Fox,et al. Visualisation and quantification of rates of atrophy in Alzheimer's disease , 1996, The Lancet.
[47] M. Styner,et al. Longitudinal development of cortical and subcortical gray matter from birth to 2 years. , 2012, Cerebral cortex.
[48] Bruce Fischl,et al. Within-subject template estimation for unbiased longitudinal image analysis , 2012, NeuroImage.
[49] Geert Molenberghs,et al. Longitudinal Data Analysis. Handbooks of Modern Statistical Methods , 2009 .
[50] Jennifer C. Britton,et al. Linear mixed-effects modeling approach to FMRI group analysis , 2013, NeuroImage.
[51] Shona Clegg,et al. Longitudinal neuroimaging and neuropsychological profiles of frontotemporal dementia with C9ORF72 expansions , 2012, Alzheimer's Research & Therapy.
[52] Chris I. Baker,et al. Teaching an adult brain new tricks: A critical review of evidence for training-dependent structural plasticity in humans , 2013, NeuroImage.
[53] Josephine Barnes,et al. Early-onset Alzheimer disease clinical variants , 2012, Neurology.
[54] Sébastien Ourselin,et al. STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation , 2013, Medical Image Anal..
[55] Christian Buechel,et al. Acquisition-related morphological variability in structural MRI. , 2006, Academic radiology.
[56] Norbert Schuff,et al. Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry , 2011, NeuroImage.
[57] Nikolaus Weiskopf,et al. A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging , 2009, NeuroImage.
[58] Nick C. Fox,et al. Gray matter atrophy rate as a marker of disease progression in AD , 2012, Neurobiology of Aging.
[59] Jyrki Lötjönen,et al. Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI , 2010, NeuroImage.
[60] Dinggang Shen,et al. Multiscale Adaptive Generalized Estimating Equations for Longitudinal Neuroimaging Data ☆ , 2022 .
[61] A Mang,et al. A Generic Framework for Modeling Brain Deformation as a Constrained Parametric Optimization Problem to Aid Non-diffeomorphic Image Registration in Brain Tumor Imaging , 2012, Methods of Information in Medicine.
[62] Sébastien Ourselin,et al. Brain MAPS: An automated, accurate and robust brain extraction technique using a template library , 2011, NeuroImage.
[63] Nick C Fox,et al. Effects of Aβ immunization (AN1792) on MRI measures of cerebral volume in Alzheimer disease , 2005, Neurology.
[64] Nick C. Fox,et al. Patterns of longitudinal brain atrophy in the logopenic variant of primary progressive aphasia , 2013, Brain and Language.
[65] Sebastien Ourselin,et al. Genetic influences on atrophy patterns in familial Alzheimer's disease: a comparison of APP and PSEN1 mutations. , 2013, Journal of Alzheimer's disease : JAD.
[66] M. Unser,et al. Interpolation Revisited , 2000, IEEE Trans. Medical Imaging.
[67] André J. W. van der Kouwe,et al. Age-associated alterations in cortical gray and white matter signal intensity and gray to white matter contrast , 2009, NeuroImage.
[68] Sébastien Ourselin,et al. Consistent multi-time-point brain atrophy estimation from the boundary shift integral , 2012, NeuroImage.
[69] Giovanni B. Frisoni,et al. Brain morphometry reproducibility in multi-center 3T MRI studies: A comparison of cross-sectional and longitudinal segmentations , 2013, NeuroImage.
[70] J. Gee,et al. Methodological considerations in longitudinal morphometry of traumatic brain injury , 2012, Front. Hum. Neurosci..
[71] Brian B. Avants,et al. Spatiotemporal Normalization for Longitudinal Analysis of Gray Matter Atrophy in Frontotemporal Dementia , 2007, MICCAI.
[72] Hemant D. Tagare,et al. Symmetric and Transitive Registration of Image Sequences , 2008, Int. J. Biomed. Imaging.
[73] Anders M. Dale,et al. Nonlinear registration of longitudinal images and measurement of change in regions of interest , 2011, Medical Image Anal..
[74] Michael Weiner,et al. Measuring longitudinal change in the hippocampal formation from in vivo high-resolution T2-weighted MRI , 2012, NeuroImage.
[75] Gerard R. Ridgway,et al. Symmetric Diffeomorphic Modeling of Longitudinal Structural MRI , 2013, Front. Neurosci..
[76] Anders M. Dale,et al. Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data , 2006, NeuroImage.
[77] Hemant D. Tagare,et al. Symmetric Non-rigid Registration: A Geometric Theory and Some Numerical Techniques , 2009, Journal of Mathematical Imaging and Vision.
[78] Chris Frost,et al. Biological and clinical changes in premanifest and early stage Huntington's disease in the TRACK-HD study: the 12-month longitudinal analysis , 2011, The Lancet Neurology.
[79] Norbert Schuff,et al. Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease , 2010, NeuroImage.
[80] Gary E. Christensen,et al. Consistent Linear-Elastic Transformations for Image Matching , 1999, IPMI.
[81] Mark Holden,et al. A Review of Geometric Transformations for Nonrigid Body Registration , 2008, IEEE Transactions on Medical Imaging.
[82] Richard S. Frackowiak,et al. Regional specificity of MRI contrast parameter changes in normal ageing revealed by voxel-based quantification (VBQ) , 2011, NeuroImage.
[83] Nicholas Ayache,et al. LCC-Demons: A robust and accurate symmetric diffeomorphic registration algorithm , 2013, NeuroImage.
[84] C. Jack,et al. Alzheimer's Disease Neuroimaging Initiative , 2008 .
[85] F. Fazio,et al. Role of Integrated 18-F FDG PET/CT in Recurrent Ovarian Cancer , 2005 .
[86] James C. Gee,et al. Spatial transformations of diffusion tensor magnetic resonance images , 2001, IEEE Transactions on Medical Imaging.
[87] Mert R. Sabuncu,et al. Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models , 2013, NeuroImage.
[88] Guido Gerig,et al. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.
[89] Christos Davatzikos,et al. Dynamic Bayesian network modeling for longitudinal brain morphometry , 2012, NeuroImage.
[90] Sébastien Ourselin,et al. Accurate Localization of Optic Radiation During Neurosurgery in an Interventional MRI Suite , 2012, IEEE Transactions on Medical Imaging.
[91] Michael Weiner,et al. Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features , 2013, NeuroImage.
[92] Daniel C. Alexander,et al. Probabilistic Event Cascades for Alzheimer's disease , 2012, NIPS.
[93] R. Dougherty,et al. Cross‐subject comparison of principal diffusion direction maps , 2005, Magnetic resonance in medicine.
[94] Mert R. Sabuncu,et al. Spatiotemporal Linear Mixed Effects Modeling for the Mass-univariate Analysis of Longitudinal Neuroimage Data ⁎ for the Alzheimer's Disease Neuroimaging Initiative 1 , 2022 .
[95] Moo K. Chung,et al. Deformation-based surface morphometry applied to gray matter deformation , 2003, NeuroImage.
[96] Guido Gerig,et al. Modeling longitudinal MRI changes in populations using a localized, information-theoretic measure of contrast , 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.
[97] M. Jorge Cardoso,et al. Atrophy Rates in Asymptomatic Amyloidosis: Implications for Alzheimer Prevention Trials , 2013, PloS one.
[98] J. Grandy. Efficient computation of volume of hexahedral cells , 1997 .
[99] Guido Gerig,et al. Building spatiotemporal anatomical models using joint 4-D segmentation, registration, and subject-specific atlas estimation , 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.
[100] Nick C Fox,et al. Interactive algorithms for the segmentation and quantitation of 3-D MRI brain scans. , 1997, Computer methods and programs in biomedicine.
[101] Jean-Philippe Thirion,et al. Image matching as a diffusion process: an analogy with Maxwell's demons , 1998, Medical Image Anal..
[102] Jan Modersitzki,et al. FAIR: Flexible Algorithms for Image Registration , 2009 .
[103] A. Dale,et al. Brain Changes in Older Adults at Very Low Risk for Alzheimer's Disease , 2013, The Journal of Neuroscience.
[104] Marc Modat,et al. An unbiased longitudinal analysis framework for tracking white matter changes using diffusion tensor imaging with application to Alzheimer's disease , 2013, NeuroImage.
[105] Nick C Fox,et al. Haemodialysis and Cerebral Oedema , 2001, Nephron.
[106] Michael Weiner,et al. Comparison of phantom and registration scaling corrections using the ADNI cohort , 2009, NeuroImage.
[107] K. Shinoda,et al. Serial MRI in early Creutzfeldt-Jacob disease with a point mutation of prion protein at codon 180 , 1995, Neuroradiology.
[108] Michael Weiner,et al. Unbiased tensor-based morphometry: Improved robustness and sample size estimates for Alzheimer's disease clinical trials , 2013, NeuroImage.
[109] C. Studholme. Mapping fetal brain development in utero using magnetic resonance imaging: the Big Bang of brain mapping. , 2011, Annual review of biomedical engineering.
[110] David J. Hawkes,et al. Voxel similarity measures for 3-D serial MR brain image registration , 1999, IEEE Transactions on Medical Imaging.
[111] D. Louis Collins,et al. Spatio-temporal Regularization for Longitudinal Registration to an Unbiased 3D Individual Template , 2012, STIA.
[112] Robert Fox,et al. CLADA: Cortical longitudinal atrophy detection algorithm , 2011, NeuroImage.
[113] Michael I. Miller,et al. Multi-structure network shape analysis via normal surface momentum maps , 2008, NeuroImage.
[114] Russell A. Poldrack,et al. Guidelines for reporting an fMRI study , 2008, NeuroImage.
[115] J. Castro-Fornieles,et al. Brain changes in children and adolescents with obsessive–compulsive disorder before and after treatment: A voxel-based morphometric MRI study , 2009, Psychiatry Research: Neuroimaging.
[116] Karl J. Friston,et al. Unified segmentation , 2005, NeuroImage.
[117] D. Hill,et al. Non-rigid image registration: theory and practice. , 2004, The British journal of radiology.
[118] Sébastien Ourselin,et al. Longitudinal Cortical Thickness Estimation Using Khalimsky's Cubic Complex , 2011, MICCAI.
[119] Michael Weiner,et al. Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: Tissue-specific intensity normalization and parameter selection , 2010, NeuroImage.
[120] Anders M. Dale,et al. Rates of Decline in Alzheimer Disease Decrease with Age , 2012, PloS one.
[121] Norbert Schuff,et al. Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: An ADNI study of 515 subjects , 2009, NeuroImage.
[122] Anatol C. Kreitzer,et al. Plasticity in gray and white: neuroimaging changes in brain structure during learning , 2012, Nature Neuroscience.
[123] Sébastien Ourselin,et al. Nonrigid registration with differential bias correction using normalised mutual information , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[124] William M. Wells,et al. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation , 2004, IEEE Transactions on Medical Imaging.
[125] W. Thompson,et al. Design considerations for characterizing psychiatric trajectories across the lifespan: application to effects of APOE-ε4 on cerebral cortical thickness in Alzheimer's disease. , 2011, The American journal of psychiatry.
[126] K O Lim,et al. Progressive brain volume changes and the clinical course of schizophrenia in men: a longitudinal magnetic resonance imaging study. , 2001, Archives of general psychiatry.
[127] P. Matthews,et al. Normalized Accurate Measurement of Longitudinal Brain Change , 2001, Journal of computer assisted tomography.
[128] Nick C Fox,et al. Volumetric MRI and cognitive measures in Alzheimer disease , 2008, Journal of Neurology.
[129] T. Mexia,et al. Author ' s personal copy , 2009 .
[130] Pierrick Coupé,et al. 3D Wavelet Subbands Mixing for Image Denoising , 2008, Int. J. Biomed. Imaging.
[131] D. Louis Collins,et al. A New Framework for Analyzing Structural Volume Changes of Longitudinal Brain MRI Data , 2012, STIA.
[132] Daniel Rueckert,et al. Cerebral atrophy measurements using Jacobian integration: Comparison with the boundary shift integral , 2006, NeuroImage.
[133] Bruce Fischl,et al. Avoiding asymmetry-induced bias in longitudinal image processing , 2011, NeuroImage.
[134] Adam G. Thomas,et al. Functional but not structural changes associated with learning: An exploration of longitudinal Voxel-Based Morphometry (VBM) , 2009, NeuroImage.
[135] Cheryl L. Dahle,et al. Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. , 2005, Cerebral cortex.
[136] Colin Studholme,et al. Early folding patterns and asymmetries of the normal human brain detected from in utero MRI. , 2012, Cerebral cortex.
[137] Keith A. Johnson,et al. Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criterion for Alzheimer’s disease , 2011, Alzheimer's & Dementia.
[138] Christos Davatzikos,et al. Voxel-Based Morphometry Using the RAVENS Maps: Methods and Validation Using Simulated Longitudinal Atrophy , 2001, NeuroImage.
[139] N. Cook,et al. Design and analysis methods for longitudinal research. , 1983, Annual review of public health.
[140] Dinggang Shen,et al. CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing , 2005, IPMI.
[141] Karl J. Friston,et al. Image registration using a symmetric prior—in three dimensions , 1999, Human brain mapping.