0000000000851376

AUTHOR

Alzheimer's Disease Neuroimaging Initiative

showing 3 related works from this author

Training labels for hippocampal segmentation based on the EADC-ADNI harmonized hippocampal protocol

2015

Abstract Background The European Alzheimer's Disease Consortium and Alzheimer's Disease Neuroimaging Initiative (ADNI) Harmonized Protocol (HarP) is a Delphi definition of manual hippocampal segmentation from magnetic resonance imaging (MRI) that can be used as the standard of truth to train new tracers, and to validate automated segmentation algorithms. Training requires large and representative data sets of segmented hippocampi. This work aims to produce a set of HarP labels for the proper training and certification of tracers and algorithms. Methods Sixty-eight 1.5 T and 67 3 T volumetric structural ADNI scans from different subjects, balanced by age, medial temporal atrophy, and scanner…

MaleEpidemiologyIntraclass correlationpathology [Cognitive Dysfunction]methods [Pattern Recognition Automated]Hippocampal formationHippocampusFunctional LateralityPattern Recognition Automatedpathology [Alzheimer Disease]ddc:616.89methods [Magnetic Resonance Imaging]methods [Image Processing Computer-Assisted]Image Processing Computer-AssistedSegmentationHARPAged 80 and overmedicine.diagnostic_testHealth PolicyOrgan SizeMiddle AgedMagnetic Resonance Imaginginstrumentation [Magnetic Resonance Imaging]Temporal LobePsychiatry and Mental healthFemalePsychologymethods [Neuroimaging]Algorithmsmethods [Imaging Three-Dimensional]anatomy & histology [Hippocampus]educationNeuroimagingTemporal lobeCellular and Molecular NeuroscienceImaging Three-DimensionalDevelopmental NeuroscienceNeuroimagingAlzheimer DiseasemedicineHumansCognitive Dysfunctionddc:610AgedProtocol (science)business.industryReproducibility of ResultsMagnetic resonance imagingpathology [Temporal Lobe]pathology [Hippocampus]Neurology (clinical)Geriatrics and GerontologyAtrophyNuclear medicinebusinessNeuroscience
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Towards a unified analysis of brain maturation and aging across the entire lifespan: A MRI analysis

2017

Previous literature about the structural characterization of the human cerebellum is related to the context of a specific pathology or focused in a restricted age range. In fact, studies about the cerebellum maturation across the lifespan are scarce and most of them considered the cerebellum as a whole without investigating each lobule. This lack of study can be explained by the lack of both accurate segmentation methods and data availability. Fortunately, during the last years, several cerebellum segmentation methods have been developed and many databases comprising subjects of different ages have been made publically available. This fact opens an opportunity window to obtain a more extens…

CerebellumRadiological and Ultrasound TechnologyCerebellum maturation05 social sciencesBrain maturationContext (language use)Degeneration (medical)Slow growth050105 experimental psychologyAccurate segmentation03 medical and health sciences0302 clinical medicinemedicine.anatomical_structureNeurologymedicine0501 psychology and cognitive sciencesRadiology Nuclear Medicine and imagingSegmentationNeurology (clinical)AnatomyPsychologyNeuroscience030217 neurology & neurosurgeryHuman Brain Mapping
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Reference standard space hippocampus labels according to the European Alzheimer's Disease Consortium–Alzheimer's Disease Neuroimaging Initiative harm…

2017

Abstract Introduction A harmonized protocol (HarP) for manual hippocampal segmentation on magnetic resonance imaging (MRI) has recently been developed by an international European Alzheimer's Disease Consortium–Alzheimer's Disease Neuroimaging Initiative project. We aimed at providing consensual certified HarP hippocampal labels in Montreal Neurological Institute (MNI) standard space to serve as reference in automated image analyses. Methods Manual HarP tracings on the high-resolution MNI152 standard space template of four expert certified HarP tracers were combined to obtain consensual bilateral hippocampus labels. Utility and validity of these reference labels is demonstrated in a simple …

Magnetic Resonance Imaging/methods/standardsMaleJaccard indexEpidemiologyComputer sciencemethods [Pattern Recognition Automated]Image ProcessingAutomated/methods/standardsHippocampusPattern Recognition Automatedddc:616.89methods [Magnetic Resonance Imaging]0302 clinical medicinemethods [Image Processing Computer-Assisted]Image Processing Computer-AssistedComputer-Assisted/methods/standardsHARPdiagnostic imaging [Hippocampus]Health Policy05 social sciencesOrgan SizeReference StandardsMagnetic Resonance ImagingHippocampal segmentationstandards [Image Processing Computer-Assisted]Psychiatry and Mental healthNeuroimaging/methods/standardsFemalemethods [Neuroimaging]Hippocampus/diagnostic imagingAlzheimer's Disease Neuroimaging InitiativeAlzheimer Disease/diagnostic imagingNeuroimagingPattern Recognition050105 experimental psychology03 medical and health sciencesCellular and Molecular NeuroscienceDevelopmental NeuroscienceNeuroimagingAlzheimer DiseaseHumans0501 psychology and cognitive sciencesddc:610Reference standardsAgedProtocol (science)standards [Magnetic Resonance Imaging]business.industryPattern recognitionGold standard (test)Neurology (clinical)Artificial intelligenceGeriatrics and Gerontologybusinessdiagnostic imaging [Alzheimer Disease]standards [Pattern Recognition Automated]Neurosciencestandards [Neuroimaging]030217 neurology & neurosurgeryAlzheimer's & Dementia
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