Hamilton S J, Isaacson D, Kolehmainen V, Muller P A, Toivanen J, Bray P F
Department of Mathematical and Statistical Sciences; Marquette University, Milwaukee, WI 53233 USA.
Department of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
Inverse Probl Imaging (Springfield). 2021 Oct;15(5):1135-1169. doi: 10.3934/ipi.2021032. Epub 2021 May 1.
The first numerical implementation of a method in 3D using simulated electrode data is presented. Results are compared to Calderón's method as well as more common TV and smoothness regularization-based methods. The method for EIT is based on tailor-made non-linear Fourier transforms involving the measured current and voltage data. Low-pass filtering in the non-linear Fourier domain is used to stabilize the reconstruction process. In 2D, methods have shown great promise for providing robust real-time absolute and time-difference conductivity reconstructions but have yet to be used on practical electrode data in 3D, until now. Results are presented for simulated data for conductivity and permittivity with disjoint non-radially symmetric targets on spherical domains and noisy voltage data. The 3D and Calderón methods are demonstrated to provide comparable quality to their 2D counterparts, and hold promise for real-time reconstructions due to their fast, non-optimized, computational cost.
本文展示了一种使用模拟电极数据在三维空间中对某方法的首次数值实现。将结果与卡尔德隆方法以及更常见的基于总变差(TV)和平滑正则化的方法进行了比较。电阻抗断层成像(EIT)的该方法基于涉及测量电流和电压数据的特制非线性傅里叶变换。在非线性傅里叶域中进行低通滤波以稳定重建过程。在二维空间中,该方法已显示出在提供稳健的实时绝对电导率和时差电导率重建方面具有巨大潜力,但直到现在,尚未用于三维实际电极数据。给出了球形域上具有不相交非径向对称目标的电导率和介电常数模拟数据以及有噪声电压数据的结果。三维的该方法和卡尔德隆方法被证明能提供与二维对应方法相当的质量,并且由于其快速、未优化的计算成本,有望用于实时重建。