Low-dose CT reconstruction method based on twin feedback network
A feedback network and low-dose technology, applied in the fields of medical image processing and computer vision, can solve the problems of low resolution of organ lesions and insufficient protection of CT details, and achieve the effect of easy data and easy construction
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[0049] The low-dose CT reconstruction method based on the twin feedback network of the present invention will be described in detail below in conjunction with the embodiments and the drawings.
[0050] A low-dose CT reconstruction method based on twin feedback network, the specific network structure is as follows figure 1 As shown, the method implementation includes the following steps:
[0051] The first step is to prepare training data;
[0052] The training data includes two parts: simulated ellipse data and Mayo data. Both datasets contain low-dose images and corresponding normal-dose images.
[0053] 1-1) Simulation ellipse data: We used the ODL library (Operator Discretization Library) in the Python language to make this data set. The data set is divided into training set and test set. The image size is 128X128 pixels. The training set contains 5000 normal Dose ellipse image and corresponding simulated low-dose ellipse image pair. With reference to Mayo data, our simulated lo...
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