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Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI
2009
Hippocampus
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We proposed a fully automatic method using probabilistic and anatomical priors for hippocampus segmentation. ...
The hippocampus is among the first structures affected in Alzheimer's disease (AD). ...
Acknowledgments Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI). ...
doi:10.1002/hipo.20626
pmid:19437497
pmcid:PMC2837195
fatcat:2am6d4zacbgwrpnmgi4h5g72fe
In vivo Analysis of Hippocampal Subfield Atrophy in Mild Cognitive Impairment via Semi-Automatic Segmentation of T2-Weighted MRI
2012
Journal of Alzheimer's Disease
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The measurement of hippocampal volumes using MRI is a useful in-vivo biomarker for detection and monitoring of early Alzheimer's Disease (AD), including during the amnestic Mild Cognitive Impairment (a-MCI ...
CA1, CA2, CA3, and CA4/DG subfields, along with head and tail regions, were segmented using an automatic algorithm. CA1 and CA4/DG segmentations were manually edited. ...
The imaging data used as atlases for automatic segmentation, as well as invaluable input for segmentation and analysis of this data, were provided by Prof. Michael D. ...
doi:10.3233/jad-2012-111931
pmid:22504319
pmcid:PMC3391337
fatcat:o4cq66sqqnfudg23g6qemouqke
A Large-scale Comparison of Cortical and Subcortical Structural Segmentation Methods in Alzheimer's Disease: a Statistical Approach
[article]
2020
bioRxiv
pre-print
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and subcortical brain segments, using automated segmentation methods in more than 60 areas between AD and healthy controls (HC). ...
HIPS, volBrain, CAT and BrainSuite segmentation methods were used for the subfields of hippocampus, and the rest of the brain. ...
Hippocampal subfield volumes at 7T in early Alzheimer's disease and normal aging. Neurobiology of Aging 35, 2039-2045 (2014). 23. Braak, H. & Braak, E. ...
doi:10.1101/2020.08.18.256321
fatcat:ph657ht2pffjbnx3g46xxzvi7i
Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging
2009
NeuroImage
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We describe a new method to automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive impairment (MCI) and elderly controls, based on multidimensional classification of ...
This approach uses spherical harmonics (SPHARM) coefficients to model the shape of the hippocampi, which are segmented from magnetic resonance images (MRI) using a fully automatic method that we previously ...
The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Disease Cooperative Study at the University of California, San ...
doi:10.1016/j.neuroimage.2009.05.036
pmid:19463957
pmcid:PMC3001345
fatcat:zjnkg67iibb3zltb4vkfjkomjy
Medial temporal lobe subregional morphometry using high resolution MRI in Alzheimer's disease
2017
Neurobiology of Aging
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The cohort included cognitively normal (CN) adults (n=86), early Mild Cognitive Impairment (EMCI; n=43), late MCI (LMCI; n=22), and mild AD (n=40) patients from the Alzheimer's Disease Neuroimaging Initiative ...
In particular, BA35, the first region associated with NFT deposition, was the only region to discriminate preclinical AD from amyloid negative CN adults ("normal aging"). ...
Bioengineering; Contract grant number: R01 EB014346 Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant ...
doi:10.1016/j.neurobiolaging.2016.09.011
pmid:27836336
pmcid:PMC5154888
fatcat:jeb5qzbp6fesxltgisg43v4eia
Assessment of Mild Cognitive Impairment in Elderly Subjects Using a Fully Automated Brain Segmentation Software
2021
Investigative Magnetic Resonance Imaging
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It is regarded as an intermediate disease entity between normal aging and Alzheimer's disease (AD), a major cause of dementia (1, 2) . ...
MATERIALS AND METHODS
Study Population The study population was derived from the Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease (KBASE) cohort (17) . ...
can be beneficial for early diagnosis and management of the AD spectrum.
Supplementary Materials The Table Supplement ...
doi:10.13104/imri.2021.25.3.164
fatcat:7wt7olmpqjeilgxh2twlo2mdau
Clinical Application of Automatic Segmentation of Medial Temporal Lobe Subregions in Prodromal and Dementia-Level Alzheimer's Disease
2016
Journal of Alzheimer's Disease
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Automatic segmentation of magnetic resonance images (MRIs) in a research population has previously been shown to detect evidence of neurodegeneration in MTL subregions and to help discriminate AD and mild ...
Hippocampal subfields, entorhinal cortex (ERC), and perirhinal cortex were automatically labeled and subregion volumes were compared between groups. ...
Acknowledgments This study was supported by the National Institutes of Health (NIH) grants AG037376, AG028018, AG010124 and grant EB017255. ...
doi:10.3233/jad-160014
pmid:27567809
pmcid:PMC5520993
fatcat:2ppjfrthebhuneou7bedoxvfvy
Fully Automated Atlas-Based Hippocampal Volumetry for Detection of Alzheimer's Disease in a Memory Clinic Setting
2015
Journal of Alzheimer's Disease
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A software tool based on open source software (Statistical Parametric Mapping SPM8) was employed for fully automated tissue segmentation and stereotactical normalization of high-resolution three-dimensional ...
Hippocampal volume is a promising biomarker to enhance the accuracy of the diagnosis of dementia due to Alzheimer's disease (AD). ...
., and R.B. were supported by the European Regional Development Fund of the European Union (reference 10153407 and 10153463). P.S. and L.S. are employees of jung diagnostics GmbH. ...
doi:10.3233/jad-141446
pmid:25201782
fatcat:cskmsyynsfgtza7wutkxms3toy
Atrophy of presubiculum and subiculum is the earliest hippocampal anatomical marker of Alzheimer's disease
2015
Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
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There is no consensus about which hippocampal subfields become atrophic earliest in the course of Alzheimer's disease (AD). ...
Methods: Thirty AD patients, 41 mild cognitive impairment (MCI) patients, and 38 healthy controls (HCs) underwent cerebral magnetic resonance imaging (with an automated segmentation protocol for the volumetric ...
Introduction Neuropathological changes in patients with Alzheimer's disease (AD) typically affect the hippocampal formation very early [1, 2] . ...
doi:10.1016/j.dadm.2014.12.001
pmid:27239489
pmcid:PMC4876901
fatcat:yd62c5g7grdnfnprc75bpirm6a
Efficient Morphometric Techniques in Alzheimer's Disease Detection: Survey and Tools
2016
Neuroscience International
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The development of advance techniques in the multiple fields such as image processing, data mining and machine learning are required for the early detection of Alzheimer's Disease (AD) and to prevent the ...
The different types of segmentation techniques such as Tissue Segmentation, Atlas based Segmentation, Hippocampus Segmentation and other segmentation techniques have been discussed. ...
The corresponding author confirms that all of the other authors have read and approved the manuscript and there are no ethical issues involved. ...
doi:10.3844/amjnsp.2016.19.44
fatcat:3zeb2s5pjzfv7mptqi7cy2a3au
Performance of Hippocampus Volumetry with FSL-FIRST for Prediction of Alzheimer's Disease Dementia in at Risk Subjects with Amnestic Mild Cognitive Impairment
2016
Journal of Alzheimer's Disease
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phase 1 of the Alzheimer's Disease Neuroimaging Initiative. ...
MRI-based hippocampus volume, a core feasible biomarker of Alzheimer's disease (AD), is not yet widely used in clinical patient care, partly due to lack of validation of software tools for hippocampal ...
., and R.B. were supported by the European Regional Development Fund of the European Union (reference 10153407, 10153462, 10153463). P.S., T.K., and L. ...
doi:10.3233/jad-150804
pmid:26923010
fatcat:bvchy7pqjbbxla6ycdfmizjl5e
Hippocampus segmentation in magnetic resonance images of Alzheimer's patients using Deep machine learning
[article]
2021
arXiv
pre-print
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Alzheimers disease is a progressive neurodegenerative disorder and the main cause of dementia in aging. Hippocampus is prone to changes in the early stages of Alzheimers disease. ...
Conclusion: The proposed approach is promising and can be extended in the prognosis of Alzheimers disease by the prediction of the hippocampus volume changes in the early stage of the disease. ...
Acknowledgment This study was carried out as an MSc thesis and financially supported by Molecular Medicine
Research Center, Tabriz University of Medical Sciences (Grant number: IR.TBZMED.REC.1397.562 ...
arXiv:2106.06743v1
fatcat:mynvqcyusjgvzlsvt6j4boy2ym
Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data
[article]
2017
arXiv
pre-print
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Increasing effort in brain image analysis has been dedicated to early diagnosis of Alzheimer's disease (AD) based on neuroimaging data. ...
The proposed deep ordinal ranking model focuses on the hippocampal morphology of individuals and learns informative and discriminative features automatically. ...
EB022573, CA189523, MH107703, DA039215, and DA039002). ...
arXiv:1709.01599v2
fatcat:b2td3jcxrnar5i7eou2jh6y4om
Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease
1997
Neurology
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Magnetic resonance imaging(MRI) based volumetric measurements of medial temporal lobe (MTL) structures can discriminate between normal elderly controls and patients with Alzheimer's disease (AD) of moderate ...
Keywords Alzheimer's Disease; Dementia; MRI; Quantitative MRI; Hippocampus Alzheimer's disease(AD) is the most common cause of dementia in individuals over 60 years of age(1-3). ...
Associations between MTL volume and age were linear, and did not differ between men and women. The segment of the hippocampus showing the greatest decline with age was the head. ...
doi:10.1212/wnl.49.3.786
pmid:9305341
pmcid:PMC2730601
fatcat:njzv5veysbhrrdsdodx6f3cfdq
DICOVERY OF "BIOMARKERS" FOR ALZHEIMER'S DISEASE PREDICTION FROM STRUCTURAL MR IMAGES
2007
2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
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previously unseen, individual structural MR images from Alzheimer's Disease (AD) and normal control (CTL) subjects. ...
We propose a computational framework for learning predictive image features as "biomarkers" for Alzheimer's Disease discrimination using high-resolution Magnetic Resonance (MR) brain images. ...
INTRODUCTION As a disease of aging, the nancial and social burdens of Alzheimer's disease (AD) are compounded by the continuing increases in the average life span [1] . ...
doi:10.1109/isbi.2007.357109
dblp:conf/isbi/LiuTLAMB07
fatcat:ddeaezp5dnepblj3ap4467xyki
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