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Updated: Mar 31, 2026

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
Published on: September 11, 2011
Image rejects in general direct digital radiography
Bjørn Hofmann1, Tine Blomberg Rosanowsky2, Camilla Jensen2
1Section for Health, Technology, and Society, Gjøvik University College, Gjøvik, Norway and Centre for Medical Ethics, University of Oslo, Oslo, Norway.
Digital radiography still has high image rejection rates, comparable to film systems. Most deleted images result from positioning or centering errors, indicating a need for improved training and quality control in radiology departments.
Area of Science:
- Radiology
- Medical Imaging
- Quality Improvement
Background:
- Image reject analysis is crucial for assessing image quality and identifying unnecessary procedures in radiology.
- While common in the film era, reject analysis has seen fewer studies since the transition to digital radiography.
- A misconception exists that digitalization has eliminated the issue of image rejects.
Purpose of the Study:
- To quantify the rate of deleted images in direct digital radiography (DR).
- To evaluate the extent of image rejects and unnecessary imaging in DR.
- To identify the causes of image deletions to enhance radiological services.
Main Methods:
- Review of all exposed images from two direct digital radiography laboratories over January 2014.
- Registration of examination types, total exposed images, and deleted images.
- Individual analysis of each deleted image to determine the specific reason for deletion.
Main Results:
- A deletion rate of 11% was observed, with 596 out of 5417 exposed images being deleted.
- Positioning errors accounted for 51.3% of deletions, followed by centering errors at 31.0%.
- Highest deletion rates were found in knee (20.6%), hip (18.5%), and ankle (13.8%) examinations.
Conclusions:
- The reject rate in digital radiography is as high as in previous film-based systems.
- Reasons for image rejection differ significantly between digital and film systems, challenging the assumption that digitalization eliminates rejects.
- High rates of deleted (unnecessary) images necessitate improvements in management, training, and quality assurance within radiology departments.
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