CT (Computed Tomography) image reconstruction method based on variational inequality at sparse sampling angle
A sparse sampling and CT image technology, applied in image data processing, 2D image generation, instruments, etc., can solve problems such as slow convergence speed and long single iteration time
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[0077] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.
[0078] Such as figure 1 As shown, the CT image reconstruction method based on the variational inequality under the sparse sampling angle includes the following steps:
[0079] (1) For fan-beam CT, perform projection scanning at equal angular intervals within the angle range of 0 to 180 degrees, and the angular interval of the projection direction is between 2 and 6 degrees, and obtain sparse projection data y;
[0080] (2) Calculate the projection matrix A through the position information of the X-ray source, the detector and the object to be reconstructed;
[0081] (3) According to the projection data y obtained in step (1) and the projection matrix A obtained in step (2), at the same time, the sparsity and non-negativity of the image gradient are introduced as prior k...
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