Spatial Filtering Improved Tomographic PIV

In the present work, an alternative procedure for the tomographic reconstruction of distribution of particles, allowing a remarkable improvement of the accuracy with roughly the same computational cost of the well assessed Multiplicative Algebraic Reconstruction Technique (Herman G.T. & Lent A. (1976) Iterative reconstruction algorithms. Computers in Biology and Medicine, 6, 273-294.), is illustrated. The technique relies on recursive smoothing by means of planar filtering windows orthogonal to the depth direction, with Gaussian distribution of the weighting coefficients. The smoothing of the distribution is much more effective in reducing the intensity of the ghost particles than that of the true ones, on account to the more accentuated elongation of the former ones in the depth direction.