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MR-Less Surface-Based Amyloid Estimation by Subject-Specific Atlas Selection and Bayesian Fusion [chapter]

Luping Zhou, Olivier Salvado, Vincent Dore, Pierrick Bourgeat, Parnesh Raniga, Victor L. Villemagne, Christopher C. Rowe, Jurgen Fripp
2012 Lecture Notes in Computer Science  
We propose a method to generate such estimate, where multiple atlases are selected and combined with local weights in a Bayesian framework.  ...  For clinical evaluation, assessing amyloid deposition with PiB-PET is desirable without requiring MR acquisition and associated fusion/segmentation techniques.  ...  Surface-Based Measurement by Atlas Fusion We propose a Bayesian fusion framework for PiB quantification by multi-atlases.  ... 
doi:10.1007/978-3-642-33418-4_28 fatcat:cui3oevmhvax3bxxa4dxf4v6ha

MR-Less Surface-Based Amyloid Assessment Based on 11C PiB PET

Luping Zhou, Olivier Salvado, Vincent Dore, Pierrick Bourgeat, Parnesh Raniga, S. Lance Macaulay, David Ames, Colin L. Masters, Kathryn A. Ellis, Victor L. Villemagne, Christopher C. Rowe, Jurgen Fripp (+1 others)
2014 PLoS ONE  
The results are combined by subject-specific atlas selection and Bayesian fusion to generate estimated surface values.  ...  The results are combined by subject-specific atlas selection and Bayesian fusion to generate estimated surface values.  ...  Acknowledgments The AIBL team thanks the participants in AIBL for their commitment and dedication to helping advance research into the early detection and causation of AD and the clinicians who referred  ... 
doi:10.1371/journal.pone.0084777 pmid:24427295 pmcid:PMC3888418 fatcat:lf332h4mqvdkhm5rebua6b64pi

MR-less cortical surface-projection of PET images from 11C- and 18F-labeled radiotracers

Vincent Doré, Pierrick Bourgeat, Luping Zhou, Jurgen Fripp, Ralph Martins, Lance Macaulay, Colin Masters, David Ames, Belinda Brown, Christopher Rowe, Olivier Salvado, Victor Villemagne
2013 Alzheimer's & Dementia  
Contact e-mail: tmh57@pitt.edu Background: Advances in PET imaging using amyloid specific ligands (e.g.  ...  diastolic blood pressure (DBP); pulse rate; and arterial stiffness by pulse wave velocity in the central (carotid-femoral (cf PWV) and heart femoral (hf PWV)), peripheral (femoral-ankle (fa PWV)), and  ...  Atlas selection and Bayesian fusion were then used for generating estimated surface values, re- flecting the pattern of either high (Ab ligands) or low (FDG) tracer retention.  ... 
doi:10.1016/j.jalz.2013.05.017 fatcat:o3nu6tdaxbbphh3itsdd52ryxm

SYSTEMATIC COMPARISON OF DIFFERENT TECHNIQUES TO MEASURE HIPPOCAMPAL SUBFIELD VOLUMES IN ADNI2

Susanne G. Mueller, Paul A. Yushkevich, Lei Wang, Koen van Leemput, Kate Alpert, Katrina Paz, Sandhitsu Das, Eugenio Iglesias, Michael W. Weiner
2016 Alzheimer's & Dementia  
Methods: The high resolution T2 weighted hippocampal images (T2-HighRes) and the corresponding T1 images from 106 ADNI2 subjects (41 controls, 57 MCI, 8 AD) were processed as follows. A. T1-based: 1.  ...  FreeSurfer 5.1 subfields using invivo atlas. B. T2-HighRes: 1. Model-based subfield segmentation using ex-vivo atlas (FreeSurfer 6.0). 2.  ...  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.jalz.2016.06.1399 fatcat:byhrkp5quzgpvc6gk3mxntnvee

Systematic comparison of different techniques to measure hippocampal subfield volumes in ADNI2

Susanne G. Mueller, Paul A. Yushkevich, Sandhitsu Das, Lei Wang, Koen Van Leemput, Juan Eugenio Iglesias, Kate Alpert, Adam Mezher, Peter Ng, Katrina Paz, Michael W. Weiner
2018 NeuroImage: Clinical  
Methods: The high resolution T2 weighted hippocampal images (T2-HighRes) and the corresponding T1 images from 106 ADNI2 subjects (41 controls, 57 MCI, 8 AD) were processed as follows. A. T1-based: 1.  ...  FreeSurfer 5.1 subfields using invivo atlas. B. T2-HighRes: 1. Model-based subfield segmentation using ex-vivo atlas (FreeSurfer 6.0). 2.  ...  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.nicl.2017.12.036 pmid:29527502 pmcid:PMC5842756 fatcat:sgtkjzsplrfdpebyvy744zgsce

Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers

Bo Cheng, Daoqiang Zhang, Songcan Chen, Daniel I. Kaufer, Dinggang Shen
2013 Neuroinformatics  
We also develop a new strategy for selecting the most informative MCI subjects.  ...  Considering that the clinical scores of mild cognitive impairment (MCI) subjects are often less stable compared to those of AD and normal control (NC) subjects due to the heterogeneity of MCI, we use only  ...  This work was supported in part by NIH grants EB006733, EB008374, EB009634, and AG041721, by NSFC grants 61075010 and 61170151, by SRFDP grant 20123218110009, by Qing Lan Project, and also by The National  ... 
doi:10.1007/s12021-013-9180-7 pmid:23504659 pmcid:PMC3759235 fatcat:xkrcgiacezeflbw6fesp7flmpy

Medical imaging diagnosis of early Alzheimer rsquo s disease

Ayman El-Baz
2018 Frontiers in Bioscience  
El-Baz and Hassan Hajjdiab are sharing the senior authorship.  ...  PET is used to differentiate between AD and other dementia disorders. Although SPECT is cheaper than PET, SPECT is less specific in its findings.  ...  Two types (automatic/objective and semiautomatic/subjective) were compared Ref. 79 Approach details Goal Estimation of the temporal trajectories of voxelwise amyloid (EM algorithm) Notes - Type Unsupervised  ... 
doi:10.2741/4612 pmid:28930568 fatcat:6f5gzcdyireuro3ylaswz2p734

The ANTs Longitudinal Cortical Thickness Pipeline [article]

Nicholas J. Tustison, Andrew J. Holbrook, Brian B. Avants, Jared M. Roberts, Philip A. Cook, Zachariah M. Reagh, Jeffrey T. Duda, James R. Stone, Daniel L. Gillen, Michael A. Yassa
2017 bioRxiv   pre-print
Longitudinal-specific strategies for acquisition and processing have potentially significant benefits including more consistent estimates of intra-subject measurements while retaining predictive power.  ...  results in a simultaneous minimization of within-subject variability and maximization of between-subject variability immediately estimable from a longitudinal mixed-effects modeling strategy.  ...  Second, using a data set of 20 atlases from the OASIS data set that have been expertly annotated and made publicly available [41] , a multi-atlas joint label fusion step (JLF) [40] is performed to create  ... 
doi:10.1101/170209 fatcat:n72bw3i22jf5hdefqbiuztbs2y

Disease-Specific Brain Atlases [chapter]

Paul M. Thompson, Michael S. Mega, Arthur W. Toga
2000 Brain Mapping: The Disorders  
National Institute of Mental Health (NINDS/NIMH NS38753), and by a Human Brain Project grant to the International Consortium for Brain Mapping, funded jointly by NIMH and NIDA (P20 MH/DA52176).  ...  Fulbright Commission, and by the National Library of Medicine (LM/MH05639) and National Science Foundation (BIR 93-22434).  ...  Atlas-Based Pathology Detection Deformable Probabilistic Atlases.  ... 
doi:10.1016/b978-012481460-8/50009-3 fatcat:63fa3fvfdbbf3hq6qm4dy5nwny

Predicting Alzheimer's disease by classifying 3D-Brain MRI images using SVM and other well-defined classifiers

S Matoug, A Abdel-Dayem, K Passi, W Gross, M Alqarni
2012 Journal of Physics, Conference Series  
based on the extracted features.  ...  When AD is suspected, the diagnosis is usually confirmed with behavioural assessments and cognitive tests, often followed by a brain scan.  ...  Even though the segmentation of MR human brain images with multiple atlases was more successful, the method was less effective when it comes to the ventricular enlargement that is not caught by the atlas  ... 
doi:10.1088/1742-6596/341/1/012019 fatcat:niplou5avndppjjswtyeka2qfq

Quantitative MRI Brain Studies in Mild Cognitive Impairment and Alzheimer's Disease: A Methodological Review

Stephanos Leandrou, Styliani Petroudi, Panayiotis A. Kyriacou, Constantino Carlos Reyes-Aldasoro, Constantinos S. Pattichis
2018 IEEE Reviews in Biomedical Engineering  
ACKNOWLEDGEMENT This study was partially funded by the H2020-WIDESPREAD-04-2017-Teaming Phase 1, Grant Agreement 763781, Integrated Precision Medicine Technologies (IPMT).  ...  The study by Babalola et al. [24] compared atlas-based and model based segmentation techniques and was tested on 270 subjects.  ...  The two atlas-based methods, classifier fusion and labelling (CFL) and expectation-maximization segmentation (EMS) using a dynamic brain atlas, performed significantly better than the model based methods  ... 
doi:10.1109/rbme.2018.2796598 pmid:29994606 fatcat:iaav4whlyfbihblbyz2zjlqpw4

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  
Aβ/amyloid-Tau/Neurofibrillary-Neurodegenerative (ATN) based AD diagnosis (the decision is made based on the amount of Aβ/amyloid and Tau deposits).  ...  The grey matter segmentation is performed by using a Bayesian based image segmentation procedure, known as the New Segment.  ... 
doi:10.1109/access.2021.3072559 fatcat:cc4ffd325naozaxs63geaut76i

2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception

Michael W. Weiner, Dallas P. Veitch, Paul S. Aisen, Laurel A. Beckett, Nigel J. Cairns, Jesse Cedarbaum, Robert C. Green, Danielle Harvey, Clifford R. Jack, William Jagust, Johan Luthman, John C. Morris (+7 others)
2015 Alzheimer's & Dementia  
CSF biomarkers, βamyloid 42 and tau, as well as amyloid PET may reflect the earliest steps in AD pathology in Weiner et al. mildly symptomatic or even nonsymptomatic subjects and are leading candidates  ...  Currently, the best classifiers select and combine optimum features from multiple modalities, including MRI, [ 18 F]-fluorodeoxyglucose-PET, amyloid PET, CSF biomarkers, and clinical tests; (4) the development  ...  Weiner has served on the scientific advisory boards for Lilly, Araclon and Institut Catala de Neurociencies Aplicades, Gulf War Veterans Illnesses Advisory Committee, VACO, Biogen Idec, and Pfizer; has  ... 
doi:10.1016/j.jalz.2014.11.001 pmid:26073027 pmcid:PMC5469297 fatcat:2k7ag6astffy5gphqxf5lodkdq

Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging

Sidong Liu, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan D. Feng
2016 Frontiers in Aging Neuroscience  
Recently, neuroimaging are increasingly used as additional research-based markers to detect AD onset and predict conversion of MCI and normal control (NC) to AD.  ...  We quantitatively analyzed nine types of biomarkers derived from FDG-PET and T1-MRI, and evaluated their performance in a task of classifying AD, MCI, and NC subjects obtained from the ADNI baseline cohort  ...  errors based on a Bayesian framework.  ... 
doi:10.3389/fnagi.2016.00023 pmid:26941639 pmcid:PMC4763344 fatcat:bka7m5up4fbitasgmiyf56eydi

Synthesizing longitudinal cortical thickness estimates with a flexible and hierarchical multivariate measurement-error model [article]

Jesse W. Birchfield, Nicholas J. Tustison, Andrew J. Holbrook
2022 arXiv   pre-print
Because of both theoretical and practical limitations, we have no gold standard by which to evaluate them. Instead, we use a Bayesian hierarchical model to combine the estimates.  ...  MRI-based entorhinal cortical thickness (eCT) measurements predict cognitive decline in Alzheimer's disease (AD) with low cost and minimal invasiveness.  ...  FreeSurfer is mesh based, using polygonal meshes representing the gray/white matter surfaces and outer cortical surfaces (Fischl, 2012) .  ... 
arXiv:2204.03576v1 fatcat:eofv4vgkcjhprpfukw6cvpjocq
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