In the simulation, blurred noisy projection images of a 3D numerical breast phantom were generated by convolving their original (or exact) version by a designed 2D Gaussian filter kernel (standard deviation=2 in pixel unit, kernel size=11×11), followed by adding Gaussian noise (mean=0, variance=0.05), and deblurred by using the algorithm before performing the DBT reconstruction procedure.
These methods, however, have limitations such as superimposition of structures onto the two-dimensional plane, distortion projection errors, and blurred images [1 5].
In order to make the quantization or pixel pattern invisible, the projector's projection can be blurred by defocusing the lens, resulting in a smooth fringe pattern (convolution theorem).
To overcome the difficulties in identifying tooth structures due to superimposition of 3D structures onto a 2D plane, distortion projection errors, and blurred images, blinded and not blinded assessments of root length and resorptions were performed.
However, these holes might be blurred due to the overlapping projection of anatomical structures or some other abnormalities in the neighborhood, which makes the identification of cavities a difficult task for radiologists.
In the case of the 20-μm mask period, the beam pattern is already a bit blurred due to the limited resolution of the projection optics (f).
On television, the camera angles never stopped changing, so the difference between live pyrotechnics and projection screens and whatever screens used to be all blurred together.
However, in two areas the features are not well resolved (blurred red bars), despite the fact that we increased the number of analyzed projections from 20,000 to 36,000.
