Multi-atlas based Direct Estimation in Preclinical Alzheimer's Disease
Multi-atlas based Direct Estimation in Preclinical Alzheimer's Disease
批准号:
9763408
负责人:
SUSUMU MORI
金额:
$8.19万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-08-15 至 2021-05-31
关键词:
AlgorithmsAlzheimer&aposs DiseaseAnatomyAtlasesBase of the BrainBrainBrain imagingBypassClassificationClinicalClinical assessmentsCloud ComputingCognitiveCommunitiesComputer AssistedComputer-Assisted DiagnosisDataDatabasesDecision MakingDementiaDiagnosisDiagnosticDimensionsDiseaseEarly DiagnosisElderlyEnrollmentEvaluation ResearchGoalsHealthcareImageImage AnalysisImpaired cognitionIndividualInformation RetrievalJudgmentKnowledgeLeadLibrariesLongitudinal StudiesMagnetic Resonance ImagingMethodsOutcomeParticipantPatient imagingPatientsPerformancePhasePhysiciansPopulationPositioning AttributeProbabilityProcessRadiology SpecialtyReportingResearchResourcesRiskShapesStructureTechnologyTestingTimeTrainingWorkbaseclinical practiceclinically significantcloud platformcognitive testingcohortcomputational platformcomputerized toolsefficacy testingexperiencefollow-upfunctional outcomeshigh dimensionalityimage registrationimaging Segmentationimprovedindividual patientknowledge baselongitudinal designnext generationnormal agingnoveloutcome forecastpre-clinicalquantitative imagingstatisticssuccesstool
中文摘要
项目总结:
英文摘要
Project summary:
In this application, we will establish a novel paradigm of atlas-based brain MRI analysis of preclinical Alzheimer’s
disease (AD), featuring in direct estimation of the patients’ attributes with a unique knowledge-based information-
retrieval technology. MRI atlases are widely used for automated image parcellation, especially, recent advances
in multi-atlas methods have yielded superior segmentation accuracy. In conventional atlas-based analysis,
atlases are used merely as templates to segment a patient image, and then volumes, shapes, intensities are
extracted from the segmented structures to estimate the patient’s diagnostic attributes, such as cognitive status
or clinical assessments. In contrast, in the proposed multi-atlas based direct estimation (MADE) approach, we
utilize the multi-atlas library as a knowledge database that is associated with rich clinical information; anatomical
similarity between the patient and atlas images will be used to weigh the information from multiple atlases, and
a weighted decision will be made to directly estimate the patient attributes, bypassing the segmentation process.
Our preliminary data have demonstrated the advantages of MADE-based analysis of T1-weighted images in
dementia patients, compared to volumetric analysis. In addition, non-image demographic and clinical information
of the patients can be readily incorporated into the MADE framework to further enhance the estimation accuracy.
Our goals is to develop MADE-based computational tools and use them to improve diagnosis and prognosis in
preclinical phase of AD. This study will be supported by the BIOCARD cohort, which is a well-designed
longitudinal study that followed 350 participants over 20 years. Comprehensive cognitive assessments and MRI
exams have been collected in these participants since 1995 when they were cognitive normal at enrollment. This
unique database allows us to investigate brain degeneration in the long preclinical phase, and develop
computational tools that can possibly assist diagnostic decisions in this critical phase. In Aim 1, we will develop
and optimize MADE-based brain structural MRI analysis diagram to estimate the patients’ current cognitive
status and disease stages, using both the ADNI and BIOCARD data. Once the tools become mature, we deploy
them on a cloud-computing platform—the MRICloud, for public use. In Aim 2, we use the optimized MADE
pipeline to predict cognitive impairment in BIOCARD cohort. Specifically, we will used the MADE pipeline to
predict patients’ cognitive decline at 1-5 years after baseline; and also predict their probability of conversion from
normal to cognitive impairment (MCI, AD or other types of abnormality) across the 20 years of follow-up, and
estimate the time-to-diagnosis. The success of the proposed project could lead to the next generation of
knowledge-based computer-aided diagnosis, and potentially improve early diagnosis and prognosis accuracy in
preclinical AD patients.
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TRD 4: Platforms for multi-modal and multi-scale imaging data
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批准号:10439906
-
项目类别:
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资助金额:$27.64万
-
财政年份:2021
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负责人:SUSUMU MORI
-
依托单位:
TRD 4: Platforms for multi-modal and multi-scale imaging data
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批准号:10270101
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项目类别:
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资助金额:$35.27万
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财政年份:2021
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负责人:SUSUMU MORI
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依托单位:
Multi-Scale Electronic Human Brain Atlas
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批准号:8817343
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项目类别:
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资助金额:$35.44万
-
财政年份:2014
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负责人:SUSUMU MORI
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依托单位:
Multi-Scale Electronic Human Brain Atlas
-
批准号:9319827
-
项目类别:
-
资助金额:$35.44万
-
财政年份:2014
-
负责人:SUSUMU MORI
-
依托单位:
Multi-Scale Electronic Human Brain Atlas
-
批准号:8931065
-
项目类别:
-
资助金额:$35.44万
-
财政年份:2014
-
负责人:SUSUMU MORI
-
依托单位:
Multi-Scale Electronic Human Brain Atlas
-
批准号:9532302
-
项目类别:
-
资助金额:$35.44万
-
财政年份:2014
-
负责人:SUSUMU MORI
-
依托单位:
Multi-Scale Electronic Human Brain Atlas
-
批准号:9112024
-
项目类别:
-
资助金额:$35.44万
-
财政年份:2014
-
负责人:SUSUMU MORI
-
依托单位:
MAMMALIAN CONNECTIVITY
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批准号:8363505
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项目类别:
-
资助金额:$1.01万
-
财政年份:2011
-
负责人:SUSUMU MORI
-
依托单位:
DtiStudio: Resource Software for Diffusion Tensor Imaging
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批准号:7895613
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项目类别:
-
资助金额:$40.06万
-
财政年份:2009
-
负责人:SUSUMU MORI
-
依托单位:
DtiStudio: Resource Software for Diffusion Tensor Imaging
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批准号:7558381
-
项目类别:
-
资助金额:$39.76万
-
财政年份:2009
-
负责人:SUSUMU MORI
-
依托单位:
DIFFUSION TENSOR IMAGING
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批准号:7602571
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项目类别:
-
资助金额:$39.7万
-
财政年份:2007
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负责人:SUSUMU MORI
-
依托单位:
IDENTIFICATION & CHARACTERIZATION OF BRAIN CONNECTIONS
-
批准号:7420411
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项目类别:
-
资助金额:$33.76万
-
财政年份:2006
-
负责人:SUSUMU MORI
-
依托单位:
IDENTIFICATION & CHARACTERIZATION OF BRAIN CONNECTIONS
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批准号:7182861
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项目类别:
-
资助金额:$23.37万
-
财政年份:2005
-
负责人:SUSUMU MORI
-
依托单位:
MR Microimaging of Alzheimer's Mouse Models
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批准号:6773676
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项目类别:
-
资助金额:$18.9万
-
财政年份:2004
-
负责人:SUSUMU MORI
-
依托单位:
MR Microimaging of Alzheimer's Mouse Models
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批准号:6855699
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项目类别:
-
资助金额:$18.9万
-
财政年份:2004
-
负责人:SUSUMU MORI
-
依托单位:
MR Microimaging of Mouse Brain Development
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批准号:7267636
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项目类别:
-
资助金额:$49.76万
-
财政年份:2004
-
负责人:SUSUMU MORI
-
依托单位:
MR Microimaging of Mouse Brain Development
-
批准号:6951854
-
项目类别:
-
资助金额:$52.12万
-
财政年份:2004
-
负责人:SUSUMU MORI
-
依托单位:
MR-Based Study of Hypomyelination by Lead Poisoning
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批准号:6707222
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项目类别:
-
资助金额:$34.02万
-
财政年份:2004
-
负责人:SUSUMU MORI
-
依托单位:
IDENTIFICATION & CHARACTERIZATION OF BRAIN CONNECTIONS
-
批准号:6972686
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项目类别:
-
资助金额:$22.33万
-
财政年份:2004
-
负责人:SUSUMU MORI
-
依托单位:
MR Microimaging of Mouse Brain Development
-
批准号:6870098
-
项目类别:
-
资助金额:$57.18万
-
财政年份:2004
-
负责人:SUSUMU MORI
-
依托单位: