A Low Dose CT Image Reconstruction Method
A CT image, low-dose technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of reducing the accuracy of reconstruction results, slow reconstruction speed, and a large number of interpolations, so as to achieve high-quality image reconstruction, avoid interpolation operations, The effect of improving accuracy
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example 1
[0098] see Figures 5A-5D as shown, Figure 5A is the original image used for simulation reconstruction, Figure 5B is the sinogram obtained using parallel beam projection, Figure 5C and Figure 5D It is the reconstruction map obtained by using the present invention. The size of the original image and the reconstructed image is 512×512 pixels to simulate the image acquisition mode of the present invention in the parallel beam projection process, the starting angle is -45 degrees, and a total of 128 angles are acquired. In the process of image reconstruction, the boundary constraint condition used in time domain space is a fixed rectangular window of 376×408 pixels; further, in each iteration process, all pixel values outside the boundary are set to zero, and the operation of pixel values inside the boundary is: when The pixel value of the next iteration minus the product of the pixel value of the previous iteration and the adjustment coefficient is used as the input v...
example 2
[0101] see Figures 6A-6B as shown, Figure 6A is the reconstruction result obtained by conventional filtered back projection (FBP), Figure 6B is the reconstruction result obtained by using the image reconstruction method of the present invention. The experimental sample is a solidified concrete material. The projection data correction in step (2) includes normalization, phase restoration, zero padding and registration. The theoretical formula of phase restoration refers to T.E.Gureyev, T.J.Davis, A.Pogany, S.C.Mayo , S.W.Wilkins.Appl.Opt.43(12):2418-2430(2004) and T.E.Gureyev, A.Pogany, D.M.Paganin, S.W.Wilkins.Opt.Commun.231(1-6):53-70(2004) . The center of gravity method is used for registration, and its theoretical formula refers to Chien-Chun Chen, Jianwei Miao, and T.K.Lee.PhysRevB.79(5).052102(2009). The size of the reconstructed image is 1000×1000 pixels, the boundary constraints used in the time domain space in the process of image reconstruction are fixed rectan...
example 3
[0103] see Figures 7A-7C as shown, Figure 7A is the original image used for simulation reconstruction, Figure 7B is the sinogram obtained by fan beam projection, Figure 7C It is the reconstruction map obtained by using the present invention. The size of the original image and the reconstructed image is 512×512 pixels, which is used to simulate the reconstruction of the data projected by the fan beam radiation source. The starting angle is -45 degrees, and a total of 128 angles are obtained. The rotation center is the geometry of the original image. center. Step (1) includes converting the fan beam projection into a parallel beam projection using a rearrangement algorithm. The theoretical formula of the rearrangement algorithm is referenced in Guy Besson.Medical Physics 26(3):415-426 (1998). In the process of image reconstruction, the boundary constraint condition used in time domain space is a fixed rectangular window of 371 × 450 pixels, the adjustment coefficient is ...
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