Improving 1H MRSI measurement of cerebral lactate for clinical applications.

Improving 1H MRSI measurement of cerebral lactate for clinical applications.
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DOI:
10.1016/j.pscychresns.2009.11.007
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发表时间:
2010-04-30
影响因子:
2.3
通讯作者:
Dager, Stephen R.
Dager, Stephen R.
中科院分区:
医学4区
文献类型:
--
作者:
Corrigan, Neva M.;Richards, Todd L.;Friedman, Seth D.;Petropoulos, Helen;Dager, Stephen R.

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准确测量脑乳酸对于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。质子磁谱成像(MRSI)技术可用于体内乳酸的研究;然而,准确测量通常处于低基础丰度的脑乳酸可能具有挑战性。在这项研究中,使用质子回声平面光谱成像(PEPSI)数据对18名健康成年人体内乳酸钠输注研究的两种不同mri分析方法获得的局部乳酸测量值进行了评估。结果表明,在使用LCModel进行光谱拟合之前,对感兴趣区域(ROI)内的数据进行平均,与在感兴趣区域内对单个体素进行拟合所得的化学浓度进行平均相比,可以显著改善乳酸测量。仿真结果也证实了这一发现。本研究还概述了一种基于地图集的方法,用于系统计算大型MRSI数据集中化学浓度的区域分布。
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.
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