Removal of lipid artifacts in H-1 spectroscopic imaging by data extrapolation
Removal of lipid artifacts in H-1 spectroscopic imaging by data extrapolation
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DOI：
10.1002/mrm.1910350509
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发表时间：
1996-05-01
影响因子：
3.3
通讯作者：
Maudsley, AA
中科院分区：
文献类型：
--
作者：
Haupt, CI;Schuff, N;Maudsley, AA
人类大脑皮层的质子磁共振波谱成像（MRSI）是复杂的存在下，从皮下脂肪，如果不抑制傅立叶重建前，作为有限的k-空间采样的结果，在整个代谢物图像的振铃和信号污染的强烈信号。本文提出了一种改进的Papoulis-Gerchberg算法，该算法利用皮下脂肪信号的窄带特性，在不改变代谢物信号区域的情况下，外推到更高的k空间值，通过计算机模拟和体内实验研究，验证了该算法的实现和性能。发现该方法允许在数据采集期间在回波时间为50 ms及更长时获得MRSI脑谱而不应用任何脂质抑制。当与优化的采集方法一起应用时，这提供了用于成像大脑皮层表面区域中的代谢物分布的有效程序。
Proton MR spectroscopic imaging (MRSI) of human cerebral cortex is complicated by the presence of an intense signal from subcutaneous lipids, which, if not suppressed before Fourier reconstruction, causes ringing and signal contamination throughout the metabolite images as a result of limited k-space sampling. In this article, an improved reconstruction of the lipid region is obtained using the Papoulis-Gerchberg algorithm, This procedure makes use of the narrow-bandlimited nature of the subcutaneous lipid signal to extrapolate to higher k-space values without alteration of the metabolite signal region, Using computer simulations and in vivo experimental studies, the implementation and performance of this algorithm were examined. This method was found to permit MRSI brain spectra to be obtained without applying any lipid suppression during data acquisition, at echo times of 50 ms and longer, When applied together with optimized acquisition methods, this provides an effective procedure for imaging metabolite distributions in cerebral cortical surface regions.