X Ray Grid Suppression

Also evaluated are grid line artifacts for a novel suppression technique in which the grid moves at a constant velocity and the x-ray exposure waveform is quotfeathered,quot i.e., when the x-ray exposure waveform has a soft start and stop. Of practical interest is that it is possible to effectively eliminate grid line artifacts when the grid moves

Grid-line suppression Nonsubsampled contourlet transform Gaussian notch ltering Spatial resolution Digital radiography abstract In radiography, an antiscatter grid is a well-known device for eliminating unexpected x-ray scatter. We investigate a new stationary grid artifact suppression method based on a nonsubsampled contourlet

In another study by Barski and Wang, 4 a method consisting of grid frequency detection and adaptive grid suppression was proposed. The grid artifact frequency was detected in the frequency domain after a 1-dimensional Fourier transform. A variety of x-ray grids are available. 9 Different grids produce different grid textures in the image

Suppression of grid lines in radiographic images is an area of active research, see e.g. Lin et al., J Digital Imaging 200619351-361 or Gauntt and Barnes, Med Phys 2006331654-1667.

The grid focal distance is determined by the angle of the lead strip geometry that is progressively increased from the center of the grid to the periphery, to account for the diverging primary x-ray beam emanating from the focal spot. Typical focal distances are 100 cm 40 inches and 180 cm 72 inches, although there are many specialized grid

In the stationary grid case, the X-rays emitted by the source pass through and are thus absorbed by the target object and the stationary anti-scatter grid. Both will leave shadows on the final image. The grid's ideal shadow is show in Fig. 1, denoted as S grid x, multiplies the desired image on the final image. It can be expressed using the

However, the most critical obstacle remaining for the successful use of X-ray grids in digital radiography is the observation of grid artifacts, such as grid shadows and moir, which can result in a misdiagnosis by physicians. Recently, the use of noise suppression algorithms i.e., virtual grid software to directly eliminate the scatter

A method for removing quotgrid line artifactsquot from x-ray images without changing the diagnostic quality of the x-ray image is presented. The method utilizes the Fourier spectrum 216 of the image to detect the grid line frequencies and employs spectral domain filtering to remove the grid line spectral components. The diagnostic information is preserved by modifying 214,212 the grid line

In radiography, an antiscatter grid is a well-known device for eliminating unexpected x-ray scatter. We investigate a new stationary grid artifact suppression method based on a nonsubsampled contourlet transform NSCT incorporated with Gaussian band-pass filtering.

Anti-scatter grids are routinely used to prevent degradation of image quality caused by scattered X-ray beams. However, these grids might cause linear artifacts that represent the shadows of the radiopaque septa. In this paper, we propose a machine learning-based method for grid artifact suppression in radiography. There are two major difficulties in the application of a deep learning