Multi-resolution network missing CT projection data estimation method based on multiple discriminators
A technology of projection data and discriminator, which is applied in the field of estimation of missing CT projection data based on multi-discriminator multi-analysis network, can solve problems such as insufficient clarity of CT projection data, and achieve the effect of improving clarity and quality
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[0059] This embodiment is a method for estimating missing CT projection data based on a multi-discriminant multi-analysis network. In practical applications, the following steps are included:
[0060] (1) The training data is 124 complete CT projection data, and the image size is 720×1024 pixels;
[0061] Simulate the CT projection data image in the case of sparse and missing CT scan angles in medicine, that is, occlude the image in the vertical direction, and set the pixel value of the area to 0. In this embodiment, 4 occlusion areas are set in the scanning angle, which is reflected in the projection data image as follows: the initial pixel points of occlusion are [0, 0], [0, 256], [0, 512], [0 , 768], the width of the block is 128 pixels, and the height is 720 pixels. The processed missing CT projection data image is a sparse missing projection data image with 4 missing regions.
[0062] (2) The multi-analysis network model of multi-discriminator trains 124 images each tim...
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