• DocumentCode
    2171665
  • Title

    Implementation and comparison of different inverse solver and image priors used in EIT using 89C51 based setup

  • Author

    Trivedi, Uday ; Agarwal, Rohit ; Saxena, T.K. ; Mittal, Anish

  • Author_Institution
    Electr. & Instrum. Eng., Thapar Univ., Patiala, India
  • fYear
    2013
  • fDate
    21-23 Sept. 2013
  • Firstpage
    50
  • Lastpage
    53
  • Abstract
    Cost effective EIT novel system was developed around 89C51 and used to generate the EIT data. The generated data was used to bring a recreated output images using EIDORS tool kit for MATLAB®. In the present study three inverse solver techniques were applied to three image prior selection techniques. The performance of nine different combinations was compared in terms of time consumed to reconstruct the image and the quality of the final image. It was found that when the Diff GN one step was used with Gauss-Newton Gaussian High Pass Filter takes only 0.591 seconds for reconstruction as compared to 0.969 seconds taken by the combination of Total Variation and absolute data using Primal/Dual interior point method used with Gauss-Newton with Gaussian HPF. The developed system can be used as a prototype in the laboratory for the evaluation of EIT technique.
  • Keywords
    Gaussian processes; computerised instrumentation; electric impedance imaging; high-pass filters; image reconstruction; 89C51 based setup; EIDORS tool kit; Gauss-Newton Gaussian high pass filter; Gaussian HPF; MATLAB®; cost effective EIT novel system; diff GN; final image quality; image prior selection techniques; image reconstruction; inverse solver techniques; primal-dual interior point method; Electrical resistance tomography; data acquisition; image reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Electronic Systems (ICAES), 2013 International Conference on
  • Conference_Location
    Pilani
  • Print_ISBN
    978-1-4799-1439-5
  • Type

    conf

  • DOI
    10.1109/ICAES.2013.6659359
  • Filename
    6659359