Optimized Multi-Metabolite Edited MRS at 3T
Optimized Multi-Metabolite Edited MRS at 3T
批准号:
10054760
负责人:
Mark Mikkelsen
金额:
$8.59万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-15 至 2021-04-30
关键词:
AccountingAdultAlgorithmic SoftwareAlgorithmsAnaerobic BacteriaAntioxidantsAreaAspartateAwardBehaviorBiochemicalBiometryBrainChemicalsClinicalCognitionComputer softwareDataDetectionDevelopmentEnvironmentEvolutionFoundationsFrequenciesFutureGlutamatesGlutathioneHealthHumanImaging TechniquesInstitutesK-Series Research Career ProgramsMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMalignant neoplasm of brainMathematicsMeasurementMeasuresMechanicsMental disordersMentorsMethodologyMethodsModernizationN-acetylaspartylglutamateNational Institute of Mental HealthNeurotransmittersPathway interactionsPhasePhysicsPhysiologic pulseProcessPsychologyQuantum MechanicsReproducibilityResearchResearch PersonnelResearch Project GrantsResolutionResourcesScanningSchemeScientistSignal TransductionSpectrum AnalysisSystemTechniquesTechnologyTestingTimeTrainingUnited States National Institutes of HealthUpdateVariantWorkascorbatebasecareerclinical examinationcohortcostdensitydesigngamma-Aminobutyric Acidimprovedin vivonervous system disorderneuroimagingneuropathologynew technologynovelnovel strategiesquantumreconstructionsimulationskillsstatistics
中文摘要
项目总结
磁共振波谱(MRS)可以无创地测量内源性药物的浓度
体内和大脑中的代谢物。浓度较低的代谢物具有较弱的磁共振信号,因此
更难察觉。编辑后的MRS简化了磁共振频谱,因此这些较弱的信号可以更容易地
量化的。然而,通常只编辑一种代谢物,导致多次扫描和更长时间的检查
当目标为多种低浓度代谢物时。该项目涉及开发和
实现了一种高度优化的多重编辑技术,称为sLASER-Hercules,用于
在一次扫描中同时检测多达8种低浓度的大脑代谢物。它的重现性
该方法将在一组成年受试者体内进行严格的评估。此外,基于软件算法的
关于空间分辨密度矩阵模拟和高级统计,将开发用于优化
这种MRS技术的采集参数提高了对特定人群测量的可靠性,可编辑
SLASER-Hercules可检测到的代谢物。该项目产生的技术将改善
编辑的磁共振波谱的效率及其在临床磁共振检查中的适用性,并最终将允许多种假说
从一次扫描中收集的生化测量中进行测试。考生将承担学费和
接受MR物理、MRS采集方法和PULSE编程方面的培训,以成功实施
SLASER-Hercules序列。本项目中提出的培训和研究将在高度集中的情况下进行
支持性的体制环境,有广泛的资源可用于研究和专业支持。
这位候选人将可以使用最先进的磁共振设备,并将由世界各国领导人在米歇尔·奥巴马夫人的指导下。
还有核磁共振。候选人的长期职业目标是将自己确立为独立的早期阶段
具有完整的MRS方法和应用技能的调查员。
英文摘要
PROJECT SUMMARY
Magnetic resonance spectroscopy (MRS) can noninvasively measure the concentration of endogenous
metabolites in the body and brain. Lower-concentration metabolites have weaker MR signals and therefore are
more difficult to detect. Edited MRS simplifies the MR spectrum so that these weaker signals can be more easily
quantified. However, usually only a single metabolite is edited, leading to multiple scans and longer examination
times when targeting multiple low-concentration metabolites. This project involves the development and
implementation of a highly optimized multiplexed editing technique, termed sLASER-HERCULES, for the
simultaneous detection of up to 8 low-concentration brain metabolites in a single scan. The reproducibility of this
approach will be rigorously assessed in vivo in a cohort of adult subjects. Additionally, software algorithms based
on spatially resolved density-matrix simulations and advanced statistics will be developed for optimizing the
acquisition parameters of this MRS technique to improve the reliable measurement of specific groups of editable
metabolites detectable by sLASER-HERCULES. The technologies generated from this project will improve the
efficiency of edited MRS and its applicability to clinical MR exams and will ultimately allow multiple hypotheses
to be tested from biochemical measurements collected in a single scan. The candidate will undertake tuition and
training in MR physics, MRS acquisition methodology, and pulse programming to successfully implement the
sLASER-HERCULES sequence. The training and research proposed in this project will be undertaken in a highly
supportive institutional environment, with extensive resources available for research and professional support.
The candidate will have access to state-of-the-art MR facilities and will be mentored by world leaders in MRS
and MRI. The long-term career objective of the candidate is to establish himself as an independent early stage
investigator with a complete repertoire of skills in MRS methodology and applications.
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Optimized Multi-Metabolite Edited MRS at 3T
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批准号:10410779
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项目类别:
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资助金额:$8.32万
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财政年份:2021
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负责人:Mark Mikkelsen
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依托单位:
海外基金