Highly Efficient MRI Pulse Sequences for High Resolution Physiological and Functional Brain Imaging
Highly Efficient MRI Pulse Sequences for High Resolution Physiological and Functional Brain Imaging
批准号:
10326081
负责人:
Alexander Beckett
金额:
$134.02万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-20 至 2024-08-31
关键词:
3-DimensionalAccelerationAreaBloodBlood VesselsBrainBrain imagingCerebrovascular CirculationClinical ProtocolsCodeComputer softwareDataDeep Brain StimulationDevelopmentDiagnosisDiseaseDocumentationDrainage procedureEcho-Planar ImagingEnvironmentEvaluationFunctional ImagingFunctional Magnetic Resonance ImagingHumanImageImaging TechniquesMagnetic Resonance ImagingMeasurementMeasuresMedicalNeocortexNeuronsNeuropsychologyNoisePatientsPerformancePhysiciansPhysicsPhysiologic pulsePhysiologicalProcessResolutionScientistSignal TransductionSiteSliceSoftware ToolsSpecificitySpeedSpin LabelsTechniquesTechnologyTestingTimeTraumatic Brain InjuryValidationVariantVenousWorkanalysis pipelineblood flow measurementblood oxygen level dependentbrain abnormalitiescerebral blood volumedata analysis pipelinehigh resolution imagingimprovedinnovationnervous system disorderneural circuitneuronal circuitryneurovascularnon-invasive imagingnovelprotocol developmentpublic repositoryquality assurancereconstructionrelating to nervous systemtemporal measurement
中文摘要
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英文摘要
Summary
This project will develop MRI physiological imaging with higher spatial and temporal resolution, larger brain
coverage, and faster accelerated pulse sequences. The physiologic images have contrasts of microvascular-
weighted blood oxygen level dependent (BOLD), cerebral blood flow (CBF) and cerebral blood volume (CBV).
Importantly, the techniques to be developed are largely insensitive to venous blood contributions to signal,
unlike traditional BOLD echo planar imaging (EPI) sequences, and thus they are extremely useful for precision
imaging of physiological markers in neurological disorders and for higher specificity in cortical layer fMRI,
enabling higher granularity in human neurocircuitry imaging. Novel acceleration techniques for each pulse
sequence will be incorporated to increase slice-volume coverage and improve signal to noise ratio (SNR) and
point spread function (PSF) in signal localization. Sequence development and evaluations will be performed at
several 3T and 7T imaging sites. We will develop a software package with advanced variants of several pulse
sequences: zoomed 3D gradient-and-spin-echo (GRASE), arterial spin labeling (ASL) for CBF imaging, slice-
saturation slab- inversion vascular space occupancy (SS-SI-VASO) for CBV imaging, and the novel VASO
technique with “multiple acquisitions with global excitation cycling” (MAGEC)-VASO to achieve whole brain
coverage. The software package will also include a modular analysis pipeline for use by neuroscientists and
physicians without the need for extensive MR-physics or coding expertise. Achieving non-invasive imaging of
neuronal circuits in the human brain will allow neuroscientists to study normal brain processes and allow
medical scientists to study neurocircuitry changes and neurological diseases. Currently, high-resolution fMRI
technology could be used to identify fMRI of neural activity at different cortical depths, but is severely limited by
poorly localized signal from venous drainage in the cortex. This project innovates new, robust 3D fMRI imaging
sequences that eliminate venous contamination, thus affording high fidelity mapping of fine-scale neuronal
circuitry compared to current gradient echo EPI BOLD imaging.
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会议论文
NexGen 7T MRI scanner for mesoscale brain imaging: Integration and Dissemination
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批准号:10725586
-
项目类别:
-
资助金额:$135.69万
-
财政年份:2023
-
负责人:Alexander Beckett
-
依托单位:
Highly Efficient MRI Pulse Sequences for High Resolution Physiological and Functional Brain Imaging
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批准号:10491234
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项目类别:
-
资助金额:$159.0万
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财政年份:2021
-
负责人:Alexander Beckett
-
依托单位:
Highly Efficient MRI Pulse Sequences for High Resolution Physiological and Functional Brain Imaging
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批准号:10684334
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项目类别:
-
资助金额:$135.1万
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财政年份:2021
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负责人:Alexander Beckett
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依托单位:
海外基金