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International Conference on Advanced Computing, Networking and Security

ADCONS 2011: Advanced Computing, Networking and Security pp 95–105Cite as

Image Reconstruction in Electrical Impedance Tomography (EIT) with Projection Error Propagation-based Regularization (PEPR): A Practical Phantom Study

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7135))

Abstract

Resistivity reconstruction of practical phantoms is studied with Projection Error Propagation-based Regularization (PEPR) method to improve the image quality in Electrical Impedance Tomography (EIT). PEPR method calculates the regularization parameter as a function of the projection error produced due to the mismatch between experimental measurements and the calculated data. The regularization parameter in the reconstruction algorithm automatically adjusts its magnitude depending on the noise level present in measured data as well as the ill-posedness of the Hessian matrix. Resistivity images are reconstructed from the practical phantom data using the Electrical Impedance Diffuse Optical Reconstruction Software (EIDORS). The resistivity images reconstructed with PEPR method are compared with the Single step Tikhonov Regularization (STR) and Modified Levenberg Regularization (LMR) techniques. The results show that, the PEPR technique reduces the reconstruction errors in each iteration 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).

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Author information

Authors and Affiliations

  1. Department of Instrumentation and Applied Physics, Indian Institute of Science, Bangalore, 560012, Karnataka, India

    Tushar Kanti Bera & J. Nagaraju

  2. Department of Physics, Indian Institute of Science, Bangalore, 560012, Karnataka, India

    Samir Kumar Biswas & K. Rajan

Authors
  1. Tushar Kanti Bera
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  2. Samir Kumar Biswas
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  3. K. Rajan
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  4. J. Nagaraju
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Editor information

Editors and Affiliations

  1. N.I.T.K., National Institute of Technology Karnataka, Surathkal, 575 025, Mangalore, India

    P. Santhi Thilagam , Alwyn Roshan Pais  & K. Chandrasekaran ,  & 

  2. Indian Institute of Science, 560012, Bangalore, India

    N. Balakrishnan

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© 2012 Springer-Verlag Berlin Heidelberg

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Bera, T.K., Biswas, S.K., Rajan, K., Nagaraju, J. (2012). Image Reconstruction in Electrical Impedance Tomography (EIT) with Projection Error Propagation-based Regularization (PEPR): A Practical Phantom Study. In: Thilagam, P.S., Pais, A.R., Chandrasekaran, K., Balakrishnan, N. (eds) Advanced Computing, Networking and Security. ADCONS 2011. Lecture Notes in Computer Science, vol 7135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29280-4_11

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  • DOI: https://doi.org/10.1007/978-3-642-29280-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29279-8

  • Online ISBN: 978-3-642-29280-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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