Projection Error Propagation-based Regularization (PEPR) method for resistivity reconstruction in Electrical Impedance Tomography (EIT)

Projection Error Propagation-based Regularization (PEPR) method for resistivity reconstruction in Electrical Impedance Tomography (EIT)
复制标题

DOI:
10.1016/j.measurement.2013.11.003
复制
发表时间:
2014-03-01
期刊:
影响因子:
5.6
通讯作者:
Nagaraju, J.
Nagaraju, J.
中科院分区:
工程技术2区
文献类型:
--
作者:
Bera, Tushar Kanti;Biswas, Samir Kumar;Nagaraju, J.

文献摘要

被引文献

相似文献

为了提高电阻抗断层成像(EIT)的图像质量,提出了一种基于投影误差传播的正则化方法。PEPR方法将正则化参数定义为由实验测量值与计算数据之差引起的投影误差的函数。重构算法中的正则化参数根据实测数据中的噪声水平和Hessian矩阵的病态性自动修正。基于模型的迭代图像重建(MoBIIR)算法以及带PEPR的电阻抗漫射光学重建软件(EIDORS)对实际幻影的电阻率成像。研究了不同构型和不同电流注入方式对PEPR方法的影响。将PEPR法重建的所有电阻率图像与单步正则化(STR)和改进Levenberg正则化(LMR)技术进行了比较。结果表明,PEPR技术降低了两种算法中模拟数据和实验数据每次迭代的投影误差和求解误差,改善了重建图像,具有更好的对比噪声比(CNR)、对比恢复百分比(PCR)、对比系数(COC)和直径电阻率剖面(DRP)。(C) 2013 Elsevier Ltd.版权所有。
A novel Projection Error Propagation-based Regularization (PEPR) method is proposed to improve the image quality in Electrical Impedance Tomography (EIT). PEPR method defines the regularization parameter as a function of the projection error developed by difference between experimental measurements and calculated data. The regularization parameter in the reconstruction algorithm gets modified automatically according to the noise level in measured data and ill-posedness of the Hessian matrix. Resistivity imaging of practical phantoms in a Model Based Iterative Image Reconstruction (MoBIIR) algorithm as well as with Electrical Impedance Diffuse Optical Reconstruction Software (EIDORS) with PEPR. The effect of PEPR method is also studied with phantoms with different configurations and with different current injection methods. All the resistivity images reconstructed with PEPR method are compared with the single step regularization (STR) and Modified Levenberg Regularization (LMR) techniques. The results show that, the PEPR technique reduces the projection error and solution error in each iterations both for simulated and experimental data in both the algorithms and improves the reconstructed images with better contrast to noise ratio (CNR), percentage of contrast recovery (PCR), coefficient of contrast (COC) and diametric resistivity profile (DRP). (C) 2013 Elsevier Ltd. All rights reserved.