This work explores the implementation and testing of a direct reconstruction algorithm for electrical impedance tomography using linearized models and Zernike polynomial bases. The study focuses on the numerical demonstration of the algorithm's effectiveness in reconstructing conductivity perturbations in different domains, emphasizing regularization techniques and singular value decomposition. Special attention is given to the decoupling of angular frequencies and the stability of reconstructions with increasing radial indices. The article provides insights into the practical application of linearization-based methods in EIT research, highlighting the importance of efficient algorithms for accurate reconstructions.
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