Aiming at the noise suppression problem in low-dose CT reconstruction,the total variation noise reduction model is applied to the image projection domain of CT reconstruction,and the establishment of ROF model and energy func-tional is introduced,as well as its application in low-dose CT image processing.An improved implementation method of ROF model is proposed.First,the gradient descent method is used to perform iteration and noise reduction processing on the projection image.Then,the filtered back-projection algorithm is used to reconstruct the industrial CT image.Finally,the en-tire process of improving the algorithm is implemented through CUDA parallel operation,and the operation of the algorithm is improved time.The results of fast online industrial CT equipment image processing using simulated noise and lithium bat-teries prove that the proposed method can effectively reduce the noise level of the reconstructed image and improve the peak signal-to-noise ratio of the image.
维普
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