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논문검색

EIT Image Reconstruction Using Iterative TV Regularized PD-IPM Algorithm

초록

영어

Biological tissues have electrical conductivity and permittivity properties which depend on tissue composition, structure and health status. Bioelectrical properties can be utilized for non invasive disease diagnosis. Electrical Impedance Tomography (EIT) is a method for reconstructing the image of distribution of electrical conductivity and permittivity inside a volume from measurements made at the surface of the volume. EIT image reconstruction is an ill-posed problem that requires a priori information called regularization. The Total Variation (TV) regularization is often used in solving EIT inverse problem. In this paper, simulation has been carried out in noise free and noisy cases and TV regularized iterative Primal Dual Interior Point Method (PD-IPM) has been used to reconstruct the difference conductivity image.

목차

Abstract
 1. Introduction
 2. Reconstruction Algorithm
  2.1. TV Regularization
  2.2. PD-IPM Algorithm
 3. Simulation Design
 4. Results
  4.1. Reconstructed Conductivity Images
  4.2. Error in Conductivity Image Reconstruction
 5. Conclusion
 References

저자정보

  • Md. Rabiul Islam Department of Electrical and Electronics Engineering University of Dhaka

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