Universal Edited MRS at 3T

项目摘要 Hadamard编码的编辑MRS允许同时在体内检测多个低浓度 单一实验中的神经代谢物。在这笔赠款的最后一个资助期内开发的方法正在 应用于HBCD研究，这是一项关于儿童发展的大型全国性研究(约7,000名婴儿)。在这次更新中 期间，我们将在整个生命周期的队列中获取相同的获取协议，以便揭示 发育和衰老过程中的神经化学变化。在方法论上，我们将扩展编辑的实用程序 MRS通过解决长期存在的体素外(OOV)回声问题来挑战大脑的区域。 我们将优化收购，以减少OOV回声对每个具有挑战性的地区的影响，并发展 建模策略，将其对代谢物量化的影响降至最低。我们还将开发智能 采集，可在采集序列时实时检测OOV信号，并调整 响应性获取以减少OOV信号。最后，我们将继续正在进行的工作，以传播 在以前的赠款期间开发的方法，随着扫描仪更新升级代码并移植新的进步 返回到较旧的代码，这样合作者就可以受益。

Project Summary Hadamard-encoded edited MRS allows simultaneous in vivo detection of multiple low-concentration neurometabolites in a single experiment. Methods developed in the last funded period of this grant are being applied in the HBCD study, a large national study of childhood development (~7,000 infants). In this renewal period, we will acquire the same acquisition protocol in a whole-lifespan cohort in order to reveal neurochemical changes in development and aging. Methodologically, we will then extend the utility of edited MRS into challenging areas of the brain by addressing the long-standing issue of out-of-voxel (OOV) echoes. We will optimize acquisitions to reduce the impact of OOV echoes for each challenging region and develop modeling strategies to minimize their impact on metabolite quantification. We will also develop intelligent acquisitions that can detect OOV signals in real-time as the sequence is being acquired and adjust the acquisition responsively to reduce OOV signals. Finally, we will continue the on-going work to disseminate methods developed during prior grant periods, upgrading code as scanners update and porting new advances back into older code so collaborators can benefit.