Utilizing the diffusion-to-noise ratio to optimize magnetic resonance diffusion tensor acquisition strategies for improving measurements of diffusion anisotropy
Utilizing the diffusion-to-noise ratio to optimize magnetic resonance diffusion tensor acquisition strategies for improving measurements of diffusion anisotropy
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DOI：
10.1002/mrm.1140
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发表时间：
2001-06-01
影响因子：
3.3
通讯作者：
Bastin, ME
中科院分区：
文献类型：
--
作者：
Armitage, PA;Bastin, ME
众所周知，从扩散张量导出的定量各向异性测量对噪声污染极其敏感，扩散张量成像（DTI）实验中的噪声水平通常从分量扩散加权（DW）图像中的信噪比（SNR）的一些估计来测量。然而，该测量高度依赖于实验参数，例如对象的扩散衰减b值和扩散系数。相反，扩散噪声比（DNR）（定义为计算出的扩散张量迹线图的SNR）提供了对噪声污染的可靠估计，这在很大程度上独立于此类参数。在这项工作中，它证明了如何可靠的各向异性测量可以使用图像采集策略，优化的DNR的DTI实验，该采集方案被证明提供噪声无关的测量典型的扩散各向异性值在人脑中发现。(C)2001 Wiley-Liss，Inc.
It is well known that quantitative anisotropy measurements derived from the diffusion tenser are extremely sensitive to noise contamination, The level of noise in the diffusion tenser imaging (DTI) experiment is usually measured from some estimate of the signal-to-noise ratio (SNR) in the component diffusion-weighted (DW) images. This measure is, however, highly dependent on experimental parameters, such as the diffusion attenuation b-value and the diffusion coefficient of the subject. Conversely the diffusion-to-noise ratio (DNR), defined as the SNR of the calculated diffusion tenser trace map, provides a reliable estimate of noise contamination, which is largely independent of such parameters. In this work it is demonstrated how reliable anisotropy measurements can be obtained using an image acquisition strategy that optimizes the DNR of the DTI experiment, This acquisition scheme is shown to provide noise-independent measurements of typical diffusion anisotropy values found in the human brain. (C) 2001 Wiley-Liss, Inc.