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A neural network method of image reconstruction from projections using grid-"friendly" projection angles

Cierniak R.

Image Processing & Communications

2009

Vol. 14, no 2-3

51-58

In this paper an original approach to the reconstruction problem using a recurrent neural network is presented. In our method parallel beam projections is used. To decrease the number of desired projections the grid "friendly" angles of the parallel projections are selected according to the discrete Radon transform (DRT). Performed computer simulations show that the presented neural network reconstruction algorithm outperforms the convolution/back-projection method in the reconstructed image quality.