Multi-voxel spectral editing at 3T

项目摘要 编辑的磁共振波谱允许低浓度的非侵入性检测 在大脑内的代谢物，从其他重叠，更丰富的化合物。直到最近，光谱- 编辑技术通常集中在每次测量一个大脑区域中的单个代谢物 (for例如，众所周知的“MEGA-PRESS”方法）。然而，这是一种耗时的方法， 当涉及多种代谢物和/或脑区域时，严重限制了临床应用。主要目标 因此，该建议的一个重要目的是开发和建立可重复性编辑实验， 多个大脑区域中的多个编辑分子，都在一次采集中。 我们将开发多体素定位技术，以联合收割机与我们最近开发的多代谢物 编辑方法，包括阿达玛编码的“爱马仕”方法以及新的“大力神” 该方法允许同时测定多达13种代谢物。对于可能 需要有限数量的体素被采集，我们将开发多波段激发和并行 采集“PRIAM”方法结合爱马仕和HERCULES。的应用程序需要 更大的空间覆盖范围和/或绘制代谢物水平空间分布的能力，编辑MR 将开发与爱马仕结合使用的光谱成像（MRSI）技术， HERCULES编辑。由于编辑的MRSI对头部运动和其他不稳定性非常敏感，因此采集和 处理方法将被实施用于鲁棒的、运动不敏感的编辑的MRSI。 严格性和重现性将得到仔细评估;新开发的方法将通过 与相同受试者的常规测量进行比较。时间信号的预期改善- 还将测量噪声比和再现性。由此产生的数据采集和分析工具将 向临床神经科学和神经影像学社区传播。

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.