Reconstruction of Free Fall Particle CT Images Using the Generalized Vector Sampled Pattern Matching Method

概要

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A new reconstruction method, which is called Generalized Vector Sampled Pattern Matching (GVSPM) method, has been applied to an ill-posed inverse problem of a capacitance-computed tomography for solid air two-phase flow. In pseudo two-phase flow images, the correlation of the reconstructed images by GVSPM is higher than those by a conventional Newton Raphson (NR) iterative method by 32.5%. Moreover, in solid air two-phase flow images, the deviation between the particles volume fraction by experimental capacitance and that by the reconstruction methods is calculated. As a result, the volume fraction deviation of GVSPM reconstructed image is lower than that of NR by 56.7%. Also, the time-mean correlation between the experimental capacitance and the capacitances from the reconstruction method is calculated. As a result, GVSPM method improves the correlation by 23.6% as compared with NR method. The accurate reconstruction of GVSPM results from an inner product calculation between the experimental capacitance and the capacitance from the reconstructed images as an objective function.
社団法人日本機械学会の論文
2004-05-15