How has digital radiography changed image processing and QA requirements?

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Digital radiography shifts image processing into the post-exposure phase, so clinicians can adjust windowing (contrast and brightness) and apply processing algorithms for noise reduction, edge enhancement, and other refinements after the image is acquired. This flexibility means image quality can be optimized without repeat exposures, but it also means quality assurance must cover not only the detector hardware but also the software and its interactions with the data. Key QA tasks include calibrating the detector to ensure uniform pixel response, validating the performance of image processing software after updates, and checking detective quantum efficiency to confirm the detector’s effectiveness at converting x-rays into usable image information. These checks help ensure consistent image quality across patients, doses, and software changes.

The other options don’t fit because digital radiography does not remove QA requirements, and it actually tends to increase QA scope by incorporating software and detector performance. It also doesn’t render DICOM unnecessary; in practice, digital workflows rely on DICOM for data transfer and display, not redundancy.