TRD2 - Ultrahigh Field Molecular Imaging and Spectroscopy
TRD2 - 超高场分子成像和光谱
基本信息
- 批准号:10376733
- 负责人:
- 金额:$ 31.63万
- 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
- 起止时间:2019-02-01 至 2024-01-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAgingAlzheimer&aposs DiseaseAutomobile DrivingBiological MarkersBiological ProcessCell NucleusCell physiologyChemical Shift ImagingCommunitiesDataDegenerative polyarthritisDepositionDetectionDevelopmentDiffusionDiseaseElectrolytesElectromagnetic FieldsFreedomFrequenciesFunctional disorderFundingGoalsHeatingHumanHuman bodyImageIonsLinkMagnetic ResonanceMagnetic Resonance ImagingMalignant NeoplasmsMapsMeasuresMetabolicMethodsModelingMolecularMolecular ProbesMonitorMultiple SclerosisMusculoskeletal DiseasesMyelinNeurodegenerative DisordersNoisePathologyPhysiologic pulsePreparationProcessPropertyProtonsRelaxationResearchResolutionResourcesRunningScanningSensitivity and SpecificitySignal TransductionSodiumSpatial DistributionSpectrum AnalysisSpeedSystemTechnologyTimeTissue ViabilityTissuesUnited States National Institutes of Healthabsorptionbasebody systemconnectomecontrast imagingdesigndisease diagnosisdriving forceexperienceflexibilityimaging approachimaging modalityimaging platformimaging studyimaging systemimprovedin vivoinnovationinsightinterestmagnetic fieldmolecular dynamicsmolecular imagingmolecular markernext generationnovelparametric imagingradio frequencyreconstructionspectroscopic imagingtooltreatment response
项目摘要
SUMMARY / ABSTRACT
The main goal of this project is to develop an ultrahigh field (UHF) magnetic resonance imaging (MRI) platform
for molecular imaging as an increasingly sensitive molecular imaging platform to visualize, characterize, and
measure biological processes at the molecular and cellular levels. We will realize the advantages of increases
signal-to-noise ratio and spectral dispersion afforded by increased static magnetic fields while overcoming its
multiple challenges through the development of novel system solutions, acquisition methods and reconstruction
strategies. This platform will be developed on a unique 10.5T whole body MRI scanner and will make use of
advanced radiofrequency (RF) management afforded by a 16 channel parallel transmit (pTx) system. Three
specific molecular imaging strategies we will pursued in this project, each detailed in a specific aim. In SA1, we
will develop a platform for integrated and advanced multinuclear applications at UHF where the proton (1H)
channel can transmit more efficiently using pTx and the single x-nuclei channel (i.e. 31P, 23Na, or 13C) can either
be used within the same session or the same scan, the later enabling advanced multinuclear applications. This
functionality currently does not exist on current systems and is mandatory for 10.5T. In SA2, we will use pTx RF
pulse design methods to create novel accelerated spatial-spectral pulses for improved spectroscopic imaging
studies with reduced transmit field sensitivity, B0 sensitivity and echo times. Model-based reconstruction
strategies will then allow us accelerate the acquisitions while providing improved estimates of metabolite and
compartment specific, parameters such as T2 and/or diffusion which are correlated with both aging and disease.
In SA3, we will use dynamic RF shimming and RF pulse design strategies to improve the magnetization
preparation for rotating frame relaxation methods used to probe molecular dynamics. Readout and
reconstruction strategies will also be explored to improve SNR efficiency and to accelerate relaxation rate
mapping. Finally in both SA1 and SA3 we will explore the use and optimization of ultrashort echo time imaging
methods to capture signals from short T2 spins as when imaging sodium or when trying to measure the relaxation
rate properties of myelin. In total, the development of this molecular imaging platform will provide unparalleled
functionality and sensitivity to probe molecular parameters to characterize tissue through molecular dynamics,
spatial distributions of functional metabolic parameters and advanced multinuclear studies. The developed
technologies will enhance the driving collaborative projects which focus on exploring new biomarkers to diagnose
disease, monitor progression and evaluate treatment response in a variety of pathologies including osteoarthritis,
multiple sclerosis, Alzheimer's and cancer. While the main focus is on the implementation of these methods at
10.5T for the highest sensitivity gains, the methods can positively impact 7T systems and in some cases even
lower fields.
摘要/摘要
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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Gregory John Metzger其他文献
Gregory John Metzger的其他文献
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{{ truncateString('Gregory John Metzger', 18)}}的其他基金
Development of Enabling Technologies for Clinical Ultrahigh Field Body MRI
临床超高场体 MRI 使能技术的开发
- 批准号:
10391523 - 财政年份:2021
- 资助金额:
$ 31.63万 - 项目类别:
Computer Aided Diagnostic System for Prostate Cancer Detection Using Quantitative Multiparametric MRI
使用定量多参数 MRI 检测前列腺癌的计算机辅助诊断系统
- 批准号:
10493089 - 财政年份:2021
- 资助金额:
$ 31.63万 - 项目类别:
Development of Enabling Technologies for Clinical Ultrahigh Field Body MRI
临床超高场体 MRI 使能技术的开发
- 批准号:
10533352 - 财政年份:2021
- 资助金额:
$ 31.63万 - 项目类别:
Computer Aided Diagnostic System for Prostate Cancer Detection Using Quantitative Multiparametric MRI
使用定量多参数 MRI 检测前列腺癌的计算机辅助诊断系统
- 批准号:
10705180 - 财政年份:2021
- 资助金额:
$ 31.63万 - 项目类别:
Development of Enabling Technologies for Clinical Ultrahigh Field Body MRI
临床超高场体 MRI 使能技术的开发
- 批准号:
10210905 - 财政年份:2021
- 资助金额:
$ 31.63万 - 项目类别:
Technology to Realize the Full Potential of UHF MRI (Supplement)
充分发挥 UHF MRI 潜力的技术(补充)
- 批准号:
10285102 - 财政年份:2019
- 资助金额:
$ 31.63万 - 项目类别:
Technology to Realize the Full Potential of UHF MRI
充分发挥 UHF MRI 潜力的技术
- 批准号:
10549850 - 财政年份:2019
- 资助金额:
$ 31.63万 - 项目类别:
Technology to Realize the Full Potential of UHF MRI
充分发挥 UHF MRI 潜力的技术
- 批准号:
10376730 - 财政年份:2019
- 资助金额:
$ 31.63万 - 项目类别:
TRD2 - Ultrahigh Field Molecular Imaging and Spectroscopy
TRD2 - 超高场分子成像和光谱
- 批准号:
10549854 - 财政年份:2019
- 资助金额:
$ 31.63万 - 项目类别:
Development of an Optimal MRI Platform for Prostate Investigations at 7 Tesla
开发用于 7 特斯拉前列腺研究的最佳 MRI 平台
- 批准号:
8234736 - 财政年份:2012
- 资助金额:
$ 31.63万 - 项目类别:
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