Multi-voxel spectral editing at 3T

3T 多体素光谱编辑

• 批准号: 10316240
• 负责人: PETER B BARKER
• 金额: $ 41.26万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-15 至 2024-10-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10316240
• 关键词: Aminobutyric Acids; Aspartate; Brain; Brain region; Chemicals; Clinical; Communities; Consumption; Data Analyses; Data Collection; Data Set; Detection; Disease; Glutamates; Glutathione; Goals; Head; Human; Imaging Techniques; Individual; Location; Magnetic Resonance Spectroscopy; Maps; Measurement; Measures; Methodology; Methods; Morphologic artifacts; Motion; N-acetylaspartate; Neurosciences; Noise; Non-Invasive Detection; Physiologic pulse; Process; Quality Control; Reproducibility; Scanning; Scheme; Signal Transduction; Spatial Distribution; System; Techniques; Technology; Time; Visualization; arm; ascorbate; base editing; clinical application; computerized data processing; data acquisition; experimental study; imaging approach; improved; in vivo; model development; neuroimaging; prospective; reconstruction; software development; spectroscopic imaging; tool

PROJECT SUMMARY Edited magnetic resonance spectroscopy allows the non-invasive detection of low-concentration metabolites within the brain, free from overlap from other, more abundant compounds. Until recently, spectral- editing techniques have generally focused on measuring individual metabolites in one brain region at a time (for instance, the well-known ‘MEGA-PRESS’ method). However, this is a time-consuming approach which severely limits clinical applicability when multiple metabolites and/or brain regions are involved. The main goal of this proposal is therefore to develop and establish the reproducibility edited experiments that can detect multiple edited molecules in multiple brain regions, all within a single acquisition. We will develop multi-voxel localization techniques to combine with our recently developed multi-metabolite editing methods, including the Hadamard-encoded ‘HERMES’ approach as well as the new ‘HERCULES’ method which allows for up to 13 metabolites to be simultaneously determined. For applications that may require a limited number of voxels to be acquired, we will developed multi-band excitation and parallel acquisition ‘PRIAM’ methods in combination with HERMES and HERCULES. For applications that require greater spatial coverage and/or the ability to map out the spatial distribution of metabolite levels, edited MR spectroscopic imaging (MRSI) techniques will be developed for use in combination with HERMES and HERCULES editing. Since edited-MRSI is very sensitive to head motion and other instabilities, acquisition and processing methods will be implemented for robust, motion-insensitive edited-MRSI. Rigor and reproducibility will be carefully assessed; newly developed methodologies will be validated by comparison to conventional measurements in the same subjects. Expected improvements in temporal signal- to-noise ratios and reproducibility will also be measured. The resulting data acquisition and analysis tools will be made available for dissemination to the clinical neuroscience and neuroimaging communities.

项目总结