Unbiased longitudinal neuromorphometry for clinical decision support
Unbiased longitudinal neuromorphometry for clinical decision support
批准号:
10223528
负责人:
Douglas N Greve
金额:
$73.34万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-07-01 至 2022-05-31
关键词:
AgeAlzheimer&aposs DiseaseBrainCell NucleusClinicalCodeComputer softwareDataDisease ProgressionDockingEnvironmentFeasibility StudiesFutureGoalsHippocampus (Brain)HumanHuntington DiseaseImaging DeviceIndividualInfrastructureLongitudinal StudiesMagnetic Resonance ImagingMethodsMonitorMultiple SclerosisNeuroanatomyNeurologicNeurologyNuclearPainPhasePreparationRadiology SpecialtyReadingReportingResolutionRiskScanningSchizophreniaSemanticsSliceStreamStructureSystemTestingTimeTranslatingValidationclinical decision supportdesignimage processingimprovedlongitudinal analysismigrationneuroimagingquantitative imagingradiologistsoftware developmenttoolusabilityverification and validation
中文摘要
项目总结
英文摘要
Project Summary
Normal human neuroanatomy is incredibly variable, and increases with age. This impedes the
ability of neuroimaging to detect effects in neurological conditions such as Alzheimer's disease
(AD), Huntington's disease (HD), multiple sclerosis (MS) and schizophrenia. Most of the recently
available state-of-the-art quantitative imaging tools still use cross-sectional methods to analyze
repeated scans. These tools lack the sensitivity to monitor subtle progressive changes because
such approaches do not account for the large intrinsic variability of normal neuroanatomy. The
goal of this project is to commercialize a longitudinal, neuro-morphometric image processing
pipeline for use in radiology, neurology and related clinical fields. The successful completion of
this project will result in a clinically useful neuro-morphometric longitudinal analysis stream with
more statistical power than is currently available commercially. This increase in power will
directly translate into an enhanced ability to detect and assess progression at both the individual
and group levels. It will also alleviate a major pain point in current longitudinal neuroradiology
reading workflows, reducing radiology report turnaround times (RTAT).
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会议论文
Multimodal brain imaging of serotonin
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批准号:8758971
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项目类别:
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资助金额:$24.09万
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财政年份:2014
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负责人:Douglas N Greve
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依托单位: