Improvement of image reconstructions using level set method

Improvement of image reconstructions using level set method

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The paper proposes a new approach to image reconstruction problems to improve results applying the level set technique during a reconstruction process, which is based on electrical impedance tomography (EIT). The recently described methods are often based on deterministic or stochastic approach to solve EIT inverse problem, which is nonlinear and highly ill-posed. The suggested approach combines advantages of nowadays used deterministic methods as there is Tikhonov regularization method with advantages of the Level Set method. The new way is applied to the tissue conductivity reconstruction. Numerical results of an image reconstruction based on the proposed new technique are presented and compared with previous results.

The paper proposes a new approach to image reconstruction problems to improve results applying the level set technique during a reconstruction process, which is based on electrical impedance tomography (EIT). The recently described methods are often based on deterministic or stochastic approach to solve EIT inverse problem, which is nonlinear and highly ill-posed. The suggested approach combines advantages of nowadays used deterministic methods as there is Tikhonov regularization method with advantages of the Level Set method. The new way is applied to the tissue conductivity reconstruction. Numerical results of an image reconstruction based on the proposed new technique are presented and compared with previous results.

FEM, Level Set Method, Inverse Problem, Regularization Methods

FEM, Level Set Method, Inverse Problem, Regularization Methods

DĚDKOVÁ, J.; DREXLER, P.

2010

07.09.2009

Plzeň

978-80-7043-821-3

Advanced Methods in the Theory of Electrical Engineering

VI-9

VI-10

2