Robust myelin water quantification: Averaging vs. spatial filtering
Robust myelin water quantification: Averaging vs. spatial filtering
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DOI：
10.1002/mrm.10492
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发表时间：
2003-07-01
影响因子：
3.3
通讯作者：
MacKay, AL
中科院分区：
文献类型：
--
作者：
Jones, CK;Whittall, KP;MacKay, AL
通过拟合来自多回波数据采集的衰减曲线，逐体素地计算髓鞘水分数。曲线拟合算法需要高信噪比来分离T-2分布中的T-2分量。这项工作比较了平均的效果，在采集过程中，数据后处理与降噪滤波器。40个地区，从5名志愿者，进行了分析。在所有40个区域发现髓鞘水分数变异性一致降低，平均值无偏倚。图像的髓磷脂水部分的白色物质更连续，有更少的“孔”比图像的髓磷脂水部分从未经过滤的回声。空间滤波是有效的减少髓鞘水分数的变异性计算从4平均多回波数据。(C)2003 Wiley-Liss，Inc.
The myelin water fraction is calculated, voxel-by-voxel, by fitting decay curves from a multi-echo data acquisition. Curve-fitting algorithms require a high signal-to-noise ratio to separate T-2 components in the T-2 distribution. This work compared the effect of averaging, during acquisition, to data postprocessed with a noise reduction filter. Forty regions, from five volunteers, were analyzed. A consistent decrease in the myelin water fraction variability with no bias in the mean was found for all 40 regions. Images of the myelin water fraction of white matter were more contiguous and had fewer "holes" than images of myelin water fractions from unfiltered echoes. Spatial filtering was effective for decreasing the variability in myelin water fraction calculated from 4-average multi-echo data. (C) 2003 Wiley-Liss, Inc.