Papers by Keyword: Reconstructed Image

Abstract: In the past decades, the requirements of non-invasive, non-radiation in medical imaging diagnosis and treatment is much higher. Diffusion optical tomography (DOT) technology increases more widespread concern. In this paper, a system designed in the frequency domain for diffuse optical tomography (DOT) imaging is described. The experimental platform utilizes 660nm laser modulated to 100MHZ, 16 parallel positions of detection at which a photomultiplier-tube is placed to detect flux of light on the external periphery of the tissue-simulating phantom made by gelatin. The reconstructed image of the absorption and scattering coefficients are obtained by using the Levenberg-Marquardt (L-M) reconstruction algorithm to solve for the optimal fitness between the measurement data and calculated data. This paper puts forward a new method that calculates the flux of area on the external periphery of the model by the forward algorithms to reduce the measurement error, which is caused by the mismatching between the flux of area the photomultiplier detects and the flux of dot the forward algorithms calculate in the traditional method. The experimental result shows that the proposed method can improve the reconstructed image of absorption and scattering coefficients

Abstract: A new hybrid algorithm is presented in this paper, which solves the ill-posed inverse problem of magnetic induction tomography (MIT) and improves the quality of reconstructed image. The hybrid algorithm firstly produces the preliminary image region using Tikhonov regularization algorithm, and then it obtains the final reconstructed image using variation regularization algorithm. The hybrid algorithm, compared with the Tikhonov regularization algorithm and the variation regularization algorithm, overcomes the numerical instability of MIT image reconstruction and accelerates the convergence speed of image reconstruction, and it also improves the resolving power of targets conductor and the quality of the reconstructed image. Simulation results show that the quality of the reconstructed image obtained using the hybrid algorithm is enhanced, so an effective algorithm for magnetic induction tomography (MIT) is introduced.