<abstract xmlns="http://www.w3.org/1999/xhtml"><p>A Projection Error Propagation-based Regularization (PEPR) method is proposed and the reconstructed image quality is improved in Electrical Impedance Tomography (EIT). A projection error is produced due to the misfit of the calculated and measured data in the reconstruction process. The variation of the projection error is integrated with response matrix in each iteration and the reconstruction is carried out in EIDORS. The PEPR method is studied with the simulated boundary data for different inhomogeneity geometries. Simulated results demonstrate that the PEPR technique improves image reconstruction precision in EIDORS and hence it can be successfully implemented to increase the reconstruction accuracy in EIT.</p></abstract>

A Projection Error Propagation-based Regularization (PEPR) method is proposed and the reconstructed image quality is improved in Electrical Impedance Tomography (EIT). A projection error is produced due to the misfit of the calculated and measured data in the reconstruction process. The variation of the projection error is integrated with response matrix in each iteration and the reconstruction is carried out in EIDORS. The PEPR method is studied with the simulated boundary data for different inhomogeneity geometries. Simulated results demonstrate that the PEPR technique improves image reconstruction precision in EIDORS and hence it can be successfully implemented to increase the reconstruction accuracy in EIT.

Improving Image Quality in Electrical Impedance Tomography (EIT) Using Projection Error Propagation-Based Regularization (PEPR) Technique: A Simulation Study

Journal of Electrical Bioimpedance

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A Projection Error Propagation-based Regularization (PEPR) method is proposed and the reconstructed image quality is improved in Electrical Impedance...

Improving Image Quality in Electrical Impedance Tomography (EIT) Using Projection Error Propagation-Based Regularization (PEPR) Technique: A Simulation Study

Article Category: Articles

Online veröffentlicht: 13. März 2011

Seitenbereich: 2 - 12

Eingereicht: 31. Jan. 2011

DOI: https://doi.org/10.5617/jeb.158

Schlüsselwörter
electrical impedance tomography, projection error propagation-based regularization (PEPR), simulated boundary potentials, image reconstruction, forward problem, inverse problem, finite element method

© 2011 Tushar Kanti Bera, Samir Kumar Biswas, K. Rajan and J. Nagaraju, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Improving Image Quality in Electrical Impedance Tomography (EIT) Using Projection Error Propagation-Based Regularization (PEPR) Technique: A Simulation Study

Article Category: Articles

Online veröffentlicht: 13. März 2011

Seitenbereich: 2 - 12

Eingereicht: 31. Jan. 2011

DOI: https://doi.org/10.5617/jeb.158

Schlüsselwörterelectrical impedance tomography, projection error propagation-based regularization (PEPR), simulated boundary potentials, image reconstruction, forward problem, inverse problem, finite element method

© 2011 Tushar Kanti Bera, Samir Kumar Biswas, K. Rajan and J. Nagaraju, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
electrical impedance tomography, projection error propagation-based regularization (PEPR), simulated boundary potentials, image reconstruction, forward problem, inverse problem, finite element method