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Improving 1H MRSI measurement of cerebral lactate for clinical applications

机译:为临床应用改善脑乳酸的1H MRSI测量

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摘要

Accurate measurement of cerebral lactate is critical to the understanding of brain function for psychiatric disorders such as panic disorder and bipolar disorder as well as mitochondrial dysfunction. Proton magnetic spectroscopic imaging (MRSI) techniques can be used to study lactate in vivo; however, accurate measurement of cerebral lactate, which is normally at low basal abundance, can be challenging. In this study, regional lactate measurements obtained with two different MRSI analytic approaches were evaluated using proton echo-planar spectroscopic imaging (PEPSI) data from 18 healthy adults participating in an in vivo sodium lactate infusion study. The results demonstrate that averaging data within a region of interest (ROI) before spectral fitting with LCModel results in significantly improved lactate measurement as compared to averaging chemical concentrations derived from the fitting of individual voxels in the ROI. Simulation results that confirm this finding are also presented. This study additionally outlines an atlas-based approach for the systematic computation of regional distributions of chemical concentrations in large MRSI data sets.
机译:准确测量大脑中的乳酸对理解精神疾病(如恐慌症和双相情感障碍)以及线粒体功能障碍的脑功能至关重要。质子磁光谱成像(MRSI)技术可用于体内乳酸研究。然而,准确测定脑乳酸(通常处于较低的基础丰度)可能是一项挑战。在这项研究中,使用来自体内参与乳酸钠输注研究的18位健康成年人的质子回波平面光谱成像(PEPSI)数据,评估了通过两种不同MRSI分析方法获得的区域性乳酸测量值。结果表明,与平均自ROI中单个体素的拟合产生的化学浓度的平均值相比,使用LCModel进行光谱拟合之前对感兴趣区域(ROI)内的数据进行平均可显着改善乳酸测量。仿真结果也证实了这一发现。这项研究还概述了一种基于图集的方法,用于系统地计算大型MRSI数据集中化学浓度的区域分布。

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