Optimized Multi-Metabolite Edited MRS at 3T
3T 时优化的多代谢物编辑 MRS
基本信息
- 批准号:10410779
- 负责人:
- 金额:$ 8.32万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-08-18 至 2022-07-31
- 项目状态:已结题
- 来源:
- 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
项目摘要
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.
项目摘要
磁共振光谱(MRS)可以无创测量内源性的浓度
体内的代谢产物。低浓度代谢物的MR信号较弱,因此
更难检测到。编辑的MRS简化了MR频谱,以使这些较弱的信号更容易
量化。但是,通常仅编辑单个代谢物,导致多次扫描和更长的检查
靶向多个低浓度代谢产物的时间。该项目涉及开发和
实施高度优化的多路复用编辑技术,称为Slaser-Hercules,用于
在一次扫描中同时检测多达8个低浓度的脑代谢物。此的可重复性
在成年受试者队列中,将在体内严格评估方法。此外,基于软件算法
将开发出在空间分辨的密度 - 密度 - 矩阵模拟和高级统计数据上,以优化
该MRS技术的采集参数,以改善特定组成的特定组的可靠度量
可以通过Slaser-Hercules检测的代谢产物。该项目产生的技术将改善
编辑的MRS的效率及其对临床MR考试的适用性,最终将允许多个假设
从单扫描中收集的生化测量结果进行测试。候选人将进行学费,并
培训MR物理学,夫人采集方法和Pulse编程,以成功实施
Slaser-Hercules序列。该项目提出的培训和研究将在高度
支持机构环境,并提供广泛的资源可用于研究和专业支持。
候选人将可以使用最先进的MR设施,并由世界领导人在MRS中进行指导
和MRI。候选人的长期职业目标是将自己确立为独立的早期阶段
MRS方法论和应用技能的完整曲目的研究人员。
项目成果
期刊论文数量(1)
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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Mark Mikkelsen其他文献
Mark Mikkelsen的其他文献
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{{ truncateString('Mark Mikkelsen', 18)}}的其他基金
Optimized Multi-Metabolite Edited MRS at 3T
3T 时优化的多代谢物编辑 MRS
- 批准号:
10054760 - 财政年份:2020
- 资助金额:
$ 8.32万 - 项目类别:
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