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Finite element modelling and image reconstruction for Lorentz force electrical impedance tomography

机译:Lorentz力电阻断层扫描的有限元建模与图像重建

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Objective: We propose a numerical framework to simulate the Lorentz force electrical impedance tomography (LFEIT) measurements on accurate electrode models and an image reconstruction scheme for which data on two pairs of electrodes are sufficient. Approach: The adopted finite element-based complete electrode model encompasses the electrode's geometry and contact impedance, accounting for the power losses at the contact interface. For image reconstruction, we suggest an approach based on a modified J-substitution algorithm that requires LFEIT and impedance measurements on two pairs of sensors, essentially necessitating no more than three boundary electrodes. Main results: The results of our simulation study suggest that electrode modelling has a significant impact on the measurements and electrode model inaccuracies may be detrimental to the image reconstruction. For image reconstruction, we suggest an approach based on a modified J-substitution algorithm that requires LFEIT and impedance measurements on two pairs of sensors, essentially necessitating no more than three boundary electrodes. Significance: This allows for shorter acquisition times, less sonication noise during the acoustic modulation, a simpler measurement setup, and eventually a more succinct and efficient image reconstruction process.
机译:目的:我们提出了一种数字框架,用于模拟Lorentz力电阻断层扫描(LFEIT)测量的精确电极模型和图像重建方案,其两对电极上的数据足够。方法:采用的基于有限元的完整电极模型包括电极的几何形状和接触阻抗,占接触界面处的功率损耗。对于图像重建,我们建议一种基于修改的J替代算法的方法,需要在两对传感器上进行LFEIT和阻抗测量,基本上需要不超过三个边界电极。主要结果:我们的仿真研究结果表明电极建模对测量的显着影响,电极模型不准确可能对图像重建可能是有害的。对于图像重建,我们建议一种基于修改的J替代算法的方法,需要在两对传感器上进行LFEIT和阻抗测量,基本上需要不超过三个边界电极。意义:这允许更短的获取时间,声学调制期间的超声噪声,更简单的测量设置,最终是更加简洁和高效的图像重建过程。

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