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Comparison of magnetic resonance electrical impedance tomography (MREIT) reconstruction algorithms

机译:磁共振电阻抗层析成像(MREIT)重建算法的比较

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Several algorithms have been proposed for image reconstruction in MREIT. These algorithms reconstruct conductivity distribution either directly from magnetic flux density measurements or from reconstructed current density distribution. In this study, performance of all major algorithms are evaluated and compared on a common platform, in terms of their reconstruction error, reconstruction time, perceptual image quality, immunity against measurement noise, required electrode size. J-Substitution (JS) and Hybrid J-Substitution algorithms have the best reconstruction accuracy but they are among the slowest. Another current density based algorithm, Equipotential Projection (EPP) algorithm along with magnetic flux density based Bz Sensitivity (BzS) algorithm has moderate reconstruction accuracy. BzS algorithm is the fastest.
机译:已经提出了几种用于MREIT中的图像重建的算法。这些算法直接根据磁通密度测量结果或根据重构的电流密度分布来重构电导率分布。在这项研究中,在一个通用平台上评估并比较了所有主要算法的性能,包括重构误差,重构时间,感知图像质量,抗测量噪声能力,所需电极尺寸。 J-Substitution(JS)和Hybrid J-Substitution算法具有最佳的重构精度,但它们是最慢的。另一种基于电流密度的算法,等电位投影(EPP)算法以及基于磁通密度的B z 灵敏度(BzS)算法具有中等的重构精度。 BzS算法是最快的。

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