Statistical analysis of the accuracy of water content-based electrical properties tomography
Statistical analysis of the accuracy of water content-based electrical properties tomography
复制标题
基于含水量的电特性层析成像精度统计分析
DOI：
10.1002/nbm.4273
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发表时间：
2020-02-11
影响因子：
2.9
通讯作者：
Xin, Sherman Xuegang
中科院分区：
文献类型：
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作者：
Han, Jijun;Gao, Yunyu;Xin, Sherman Xuegang
Water content-based electrical properties tomography (wEPT) can retrieve electrical properties (EPs) from water content maps, thereby eliminating the need for B-1 field measurement in the traditional magnetic resonance electrical properties tomography method. The wEPT is performed by conventional MR scanning, such as T-1-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.
