A regularized Newton method in electrical impedance tomography using shape Hessian information

被引:0
|
作者
Eppler, K
Harbrecht, H
机构
[1] Weierstrass Inst Angew Anal & Stochast, D-10117 Berlin, Germany
[2] Univ Kiel, Inst Informat & Prakt Math, D-24098 Kiel, Germany
来源
CONTROL AND CYBERNETICS | 2005年 / 34卷 / 01期
关键词
electrical impedance tomography; shape optimization; boundary integral equation; Newton type descent;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The present paper is concerned with the identification of an obstacle or void of different conductivity included in a two-dimensional domain by measurements of voltage and currents at the boundary. We employ a reformulation of the given identification problem as a shape optimization problem as proposed by Roche and Sokolowski (1996). It turns out that the shape Hessian degenerates at the given hole which gives a further hint on the ill-posedness of the problem. For numerical methods, we propose a preprocessing for detecting the barycentre and a crude approximation of the void or hole. Then, we resolve the shape of the hole by a regularized Newton method.
引用
收藏
页码:203 / 225
页数:23
相关论文
共 50 条
  • [21] Electrical impedance tomography: from topology to shape
    Hintermueller, Michael
    Laurain, Antoine
    [J]. CONTROL AND CYBERNETICS, 2008, 37 (04): : 913 - 933
  • [22] Electrical Impedance Tomography using Differential Evolution integrated with a Modified Newton Raphson Algorithm
    Tan, Rick Hao
    Rossa, Carlos
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2020, : 2528 - 2534
  • [23] Shape Reconstruction With Multiphase Conductivity for Electrical Impedance Tomography Using Improved Convolutional Neural Network Method
    Wu, Yang
    Chen, Bai
    Liu, Kai
    Zhu, Chengjun
    Pan, Huaping
    Jia, Jiabin
    Wu, Hongtao
    Yao, Jiafeng
    [J]. IEEE SENSORS JOURNAL, 2021, 21 (07) : 9277 - 9287
  • [24] A shape-based quality evaluation and reconstruction method for electrical impedance tomography
    Antink, Christoph Hoog
    Pikkemaat, Robert
    Malmivuo, Jaakko
    Leonhardt, Steffen
    [J]. PHYSIOLOGICAL MEASUREMENT, 2015, 36 (06) : 1161 - 1177
  • [25] Nonstationary bubble shape determination in Electrical Impedance Tomography combining Gauss-Newton Optimization with particle filter
    de Moura, Bruno Furtado
    Martins, Marcio Ferreira
    Sepulveda Palma, Francisco Hernan
    da Silva, Wellington Betencurte
    Acevedo Cabello, Jorge
    Ramos, Rogerio
    [J]. MEASUREMENT, 2021, 186
  • [26] Optimization of Hessian matrix in modified Newton-Raphson algorithm for electrical resistance tomography
    Xiao, Liqing
    [J]. European Journal of Electrical Engineering, 2019, 21 (05) : 439 - 446
  • [27] Fisher information analysis in electrical impedance tomography
    Nordebo, Sven
    Gustafsson, Mats
    Nilsson, Borje
    Sjoden, Therese
    Soldovieri, Francesco
    [J]. JOURNAL OF GEOPHYSICS AND ENGINEERING, 2013, 10 (06)
  • [28] Shape Sensing of Variable Stiffness Soft Robots using Electrical Impedance Tomography
    Avery, James
    Runciman, Mark
    Darzi, Ara
    Mylonas, George P.
    [J]. 2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2019, : 9066 - 9072
  • [29] Shape-Driven Difference Electrical Impedance Tomography
    Liu, Dong
    Smyl, Danny
    Gu, Danping
    Du, Jiangfeng
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 39 (12) : 3801 - 3812
  • [30] Shape and topology optimization in electrical impedance tomography via moving morphable components method
    Dong Liu
    Jiangfeng Du
    [J]. Structural and Multidisciplinary Optimization, 2021, 64 : 585 - 598