Image Reject Patterns in Computed Radiography: Insights From a Ghanaian Radiology Department

This study reinforces the role of image reject analysis as a valuable QA measure in CR systems. The high rejection rates observed highlight the need for targeted interventions in positioning, workflow optimization, and radiographer training, particularly in resource-constrained settings to enhance diagnostic quality and patient safety.