Cone beam X-ray oral cavity tomography image algorithm
A tomographic and X-ray technology, applied in the field of medical imaging, can solve problems such as incompleteness and uneven projection data, and achieve the effects of noise suppression, solving two-dimensional image reconstruction problems, and high image quality.
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[0020] see figure 1 As shown, a cone-beam X-ray oral tomography algorithm includes the following steps:
[0021] (1) Use the grid to discretize the image to be reconstructed and assign an initial value ;
[0022] (2) At the initial value On the basis of , the image is projected at various angles, the simulation value of the projection is calculated, and the projection coefficient matrix W is established;
[0023] (3) Within the scope of mutual constraints of the POCS reconstruction method, compare the projection simulation value calculated in step (2) with the real projection value at the same angle to obtain a difference, and based on this difference, each image The pixel value of the grid is iteratively corrected;
[0024] (4) Repeat step (3) to the end of the iteration to obtain the reconstructed image.
[0025] In the above, when considering the actual pixel value of the image, make Take 255 when it is greater than 255, and take 0 when it is less than 0.
[0026]...
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