General Linear Modeling For Magnetic Resonance Spectroscopy
磁共振波谱学的一般线性建模
基本信息
- 批准号:10659037
- 负责人:
- 金额:$ 20.44万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-07-05 至 2025-03-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAdoptionAlgorithmsBehaviorBiochemicalBrainCloud ComputingCodeCommunitiesComputer ModelsConcentration measurementCoupledDataDiffusionDimensionsElementsEquipmentEventFingerprintFreedomGrantHigh Performance ComputingHumanIndividualInternetKnowledgeLinear ModelsLinkMagnetic Resonance SpectroscopyMeasuresMetabolicMethodsModelingModernizationParticipantPathologyPhasePhysiologic pulsePhysiologicalPropertyRecoveryRelaxationResolutionRunningSeriesSignal TransductionSpectrum AnalysisStimulusTechniquesTestingTimeTissuesTranslatingbiophysical propertiescandidate markercell typechemical propertycloud baseddensitydesigndiffusion weightedexperimental studyflexibilityimprovedin vivoin vivo magnetic resonance spectroscopyinnovationmodel designneurochemistrynovelopen sourcepharmacologicphysical propertypotential biomarkerresponsetooluser-friendly
项目摘要
Project Summary
Advanced multi-spectrum magnetic resonance spectroscopy (MRS) methods allow the non-invasive
measurement of the concentration of neurochemicals, but also of other biophysical properties. The currently
available one-dimensional modeling tools cannot adequately model such data because they are incapable of
incorporating prior knowledge about the relationships between sub-spectra into a single multi-dimensional model.
Additional parameters that can be encoded in the acquisition, but not adequately accommodated within the
quantification model include metabolite relaxation times, metabolite diffusion tensors, and physiological
metabolic response to external stimulation.
This project addresses the gap in currently available modeling tools for MRS by introducing a generalized linear
combination modeling framework for MRS. This avoids the overfitting that arises from serial application of current
one-dimensional models, dramatically increasing model parsimony. All code developed will be made available
to the community open-source, and the modeling framework will be made available in the cloud via a web user
interface.
项目总结
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Georg Oeltzschner其他文献
Georg Oeltzschner的其他文献
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{{ truncateString('Georg Oeltzschner', 18)}}的其他基金
General Linear Modeling For Magnetic Resonance Spectroscopy
磁共振波谱学的一般线性建模
- 批准号:
10509724 - 财政年份:2022
- 资助金额:
$ 20.44万 - 项目类别:
Towards a comprehensive neurometabolic profile in patients with mild cognitive impairment.
为轻度认知障碍患者提供全面的神经代谢特征。
- 批准号:
10360721 - 财政年份:2021
- 资助金额:
$ 20.44万 - 项目类别:
Towards a comprehensive neurometabolic profile in patients with mild cognitive impairment.
为轻度认知障碍患者提供全面的神经代谢特征。
- 批准号:
10390417 - 财政年份:2021
- 资助金额:
$ 20.44万 - 项目类别:
Towards a comprehensive neurometabolic profile in patients with mild cognitive impairment.
为轻度认知障碍患者提供全面的神经代谢特征。
- 批准号:
10602399 - 财政年份:2021
- 资助金额:
$ 20.44万 - 项目类别:
Towards a comprehensive neurometabolic profile in patients with mild cognitive impairment.
为轻度认知障碍患者提供全面的神经代谢特征。
- 批准号:
9901421 - 财政年份:2019
- 资助金额:
$ 20.44万 - 项目类别:
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