An explicit conditioning method for image reconstruction in electrical capacitance tomography
作者: Stephen H. TaylorSuresh V. Garimella
作者单位: 1Cooling Technologies Research Center, an NSF I/UCRC, School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907 USA
刊名: Flow Measurement and Instrumentation, 2015, Vol.46 , pp.155-162
来源数据库: Elsevier Journal
DOI: 10.1016/j.flowmeasinst.2015.10.009
关键词: Image reconstructionSensitivity Factor Regularization (SFR)Capacitance tomographyECT designElectrode optimization
原始语种摘要: Abstract(#br)A new electrical capacitance tomography (ECT) image reconstruction method, termed Sensitivity Factor Regularization (SFR), is developed. The SFR method provides an explicit formulation for solving the image reconstruction problem that performs better than other explicit methods, such as linear back-projection and Tikhonov regularization, while providing the same computational efficiency. The computational ease of the SFR method renders it an attractive option for ECT where real-time imaging is required and theoretical statistical evaluation of proposed electrode configurations may readily be performed. A statistical study is conducted using SFR image reconstructions for investigating the impact of electrode density on image quality for a symmetric ECT system characterizing a...
全文获取路径: Elsevier  (合作)
影响因子:0.971 (2012)

  • reconstruction 复原
  • image 
  • tomography 断层x 线摄影
  • explicit 明白
  • capacitance 电容
  • computational 计算的
  • electrical 电的
  • ECT Earliest Completion Time
  • regularization 正则化
  • reconstructed 修]重构[建