Factors affecting image quality
There are a number of factors, both inherent in equipment design and external, that affect image quality. The following are important examples:
Fill factor
Any improvements in resolution will require a reduced pixel pitch. The fill factor will decrease with improved resolution, as the read-out electronics will take up a larger proportion of the detector element and decrease the detector sensitivity.
Tiling
Grids
Radiation exposure (image optimization)
detector. Although a relatively low exposure will result in a noisy image, it may still contain sufficient information to be diagnostically acceptable. A high exposure will result in improved image quality, since quantum noise is reduced. However, image-quality improvement is not linear: it will eventually level off as the quantum noise becomes less dominant and decrease as the plate becomes overexposed. Ideally, a system should be set up to obtain adequate image quality for the lowest possible dose (optimization).
Automatic exposure control response
An automatic exposure control (AEC) for a film/screen system is set up by ensuring that the correct optical density is achieved across a range of kilovoltages. This method is not practical for digital imaging, as the image will be displayed according to preset parameters, irrespective of the exposure used. The AEC will need to be set up in collaboration with the radiology and medical physics dep-artments and the supplier. The level of exposure must be optimized for the selected examination and the receptor dose measured.
One other consideration is that some-times when film/screen systems are replaced by a CR system, then for simplicity the AEC is kept at the same settings. This may not be the optimal working level, because the sensitivity and energy response of the digital
system are different from those of the film/screen system it replaces. A DDR system can use the detector itself as an AEC, although currently most use a conventional AEC chamber system.