FIELD: image processing means.
SUBSTANCE: use: for image processing. Summary of invention consists in the fact that image processing method includes processing input data in a projection area using a convolutional neural network. Neuron network comprises a projection area network, an analytic reconstruction network layer and a visualization network. Projection area network can process data in the projection area in order to recover possible missing data, thereby increasing the quality of the projection. Visualization network processes the reconstructed image in order to obtain an evaluation image. Imaging area network is adjusted by using a pricing model function based on the evaluation image, and to correct parameters of convolutional core network of projection area reverse propagation of gradient through layer of analytical reconstruction network. Projection operation is carried out with respect to the evaluation image using the projection matrix of the scanning system using a CT to obtain a projection result.
EFFECT: improved quality of the reconstructed image.
11 cl, 20 dwg
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Authors
Dates
2019-12-17—Published
2018-12-25—Filed