Abstract
Electrical Impedance Tomography (EIT) essentially needs the Jacobean matrix to reconstruct the conductivity distribution of the domain under test. A Broyden’s method based high speed Jacobean matrix (J) calculator is proposed for Electrical Impedance Tomography (EIT). The Gauss-Newton-based EIT image reconstruction algorithm repetitively calculates the Jacobian matrix (J) which needs a lot of computation time and cost. Broyden’s method based high speed Jacobean matrix calculator (JMC) makes explicit use of secant and adjoint information that can be obtained from the forward solution of the EIT. The Broyden’s method based high speed Jacobean matrix calculator (JMC) approaches reduce the computational time remarkably by approximating the system Jacobian (J) successively through low-rank updates. The performance of the JMC is studied with simulated EIT data and the results are compared with Gauss-Newton method based EIT reconstruction. Simulated results show that the Broyden’s method based image reconstruction algorithm accelerates the reconstruction speed remarkably.
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Bera, T.K., Biswas, S.K., Rajan, K., Nagaraju, J. (2014). A Broyden’s Method Based High Speed Jacobean Matrix Calculator (JMC) for Electrical Impedance Tomography (EIT). In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 259. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1768-8_61
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