Statistical analysis of the accuracy of water content-based electrical properties tomography.,NMR in Biomedicine

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Statistical analysis of the accuracy of water content-based electrical properties tomography.
NMR in Biomedicine ( IF 2.7 ) Pub Date : 2020-02-11 , DOI: 10.1002/nbm.4273
Jijun Han ₁ , Yunyu Gao ₁ , Xiang Nan ₂ , Feng Liu ₃ , Sherman Xuegang Xin _{1,

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Affiliation

Water content-based electrical properties tomography (wEPT) can retrieve electrical properties (EPs) from water content maps, thereby eliminating the need for B1 field measurement in the traditional magnetic resonance electrical properties tomography method. The wEPT is performed by conventional MR scanning, such as T1 -weighted spin-echo imaging, and thus can be directly applied to clinical settings. However, the random noise propagation involved in wEPT causes inaccuracy in EP mapping. To guarantee the EP estimates desired for clinical practice, this study statically investigates the noise-specific uncertainty of wEPT through probability density function models. We calculated the probability distribution of EP maps with different noise levels and examined the effects of scan parameters on reconstruction accuracy with various flip angles (FAs) and repetition time (TR) settings. The theoretical derivation was validated by Monte Carlo simulations and human imaging experiment at 3 T. Results showed that a serious deviation could occur in tissues with large conductivity value at a low signal-to-noise ratio and quantitatively demonstrate that such deviation could be mitigated by increased FAs or TRs. This study provided useful information for the setup of scan parameters, evaluation of accuracy of the wEPT under specific SNR levels, and promote its clinical applications.

中文翻译：

基于水含量的电特性层析成像准确性的统计分析。

基于水含量的电特性层析成像（wEPT）可以从水含量图中检索电特性（EPs），从而消除了传统磁共振电特性层析成像方法中对B1场测量的需要。wEPT通过常规MR扫描（例如T1加权自旋回波成像）执行，因此可以直接应用于临床环境。但是，wEPT中涉及的随机噪声传播会导致EP映射不准确。为保证临床实践所需的EP估计值，本研究通过概率密度函数模型静态研究了wEPT的噪声特定不确定性。我们计算了具有不同噪声水平的EP映射的概率分布，并检查了扫描参数对各种翻转角（FA）和重复时间（TR）设置对重建精度的影响。理论推导通过蒙特卡罗模拟和3 T人体成像实验进行了验证。结果表明，在低信噪比的情况下，具有较大电导率值的组织中可能会出现严重偏差，并定量表明可以通过以下方法减轻这种偏差： FAs或TRs增加。这项研究为设置扫描参数，评估特定SNR水平下wEPT的准确性提供了有用的信息，并促进了其临床应用。结果表明，在低信噪比的情况下，具有较大电导率值的组织中可能会出现严重偏差，并定量表明可以通过增加FA或TR来缓解这种偏差。这项研究为设置扫描参数，评估特定SNR水平下wEPT的准确性提供了有用的信息，并促进了其临床应用。结果表明，在低信噪比的情况下，具有较大电导率值的组织中可能会出现严重偏差，并定量表明可以通过增加FA或TR来缓解这种偏差。这项研究为设置扫描参数，评估特定SNR水平下wEPT的准确性提供了有用的信息，并促进了其临床应用。

更新日期：2020-02-11

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