Abstract：The electrical resistance tomography reconstruction algorithms of two-phase flow can be categorized into two kinds,direct algorithms and iterative algorithms.These reconstruction algorithms are compared and studied,the results show that:the direct algorithms are fast,but the reconstruction images are blurry and can only be used as qualitative analysis.The iterative algorithms are slower,but the reconstruction images quality is better. As the pixels rise to enhance resolution of reconstruction images,the increment time of the direct algorithms is very small.The reconstruction time of the Newton-Raphson algorithm and BFGS algorithm is largely increased because of the increased dimension of the Hessian matrix.The Hessian matrix and its inverse matrix are simplified in the modified BFGS algorithm,therefore the reconstruction time is increased a little.
［1］邵嘉庆,徐苓安.电阻层析成象系统的研究［J］.自动化与仪表,1999,14（2）:1-3.
［2］Barber D C,Brown B H. Applied potential tomography［J］. J Phys E: Sci Instrum,1984,17（8）: 723.
［3］Xie C G,Huang S M, Hoyle B S,et al. Transputer-based electrical capacitance tomography for real-time imaging of oilfield flow pipeline［M］//Beck M S,Campogrande E,Morris M,et al.Tomography Techniques for Process Design and Operation.Southamphton:Computational Mechanics Publications,1993,333-346.
［4］Yorkey T J,Webster J G,Tompkins W J.Comparing Reconstruction Algorithms for Electrical Impedance Tomography［J］.IEEE Transaction on Biomedical Engineering,1987,34（11）: 843-852.
［5］Yu J H,Huang Z Y,Ji H F,et al.Image Reconstruction Algorithm of Electrical Resistance Tomography for the Measurement of Two-phase Flow［C］//Proceedings of IEEE Sensors.Toronto,Canada,2003.
［6］Kin M C,Kim S,Kim K Y,et al.Regularization methods in electrical impedance tomography technique for the two-phase flow visualization［J］.International Communications in Heat and Mass Transfer,2001,28（6）:773-782.
［7］Klose A D,Hielscher A H.Quasi-Newton methods in optical tomographic image reconstruction［J］.Inverse Problems,2003,19（2）: 387-409.
2011, Vol. 32 
