Related Experiment Video
Updated: Jun 27, 2026
Troubleshooting and Quality Assurance in Hyperpolarized Xenon Magnetic Resonance Imaging: Tools for High-Quality Image Acquisition
Published on: January 5, 2024
Evaluating noise in digitized radiographic images by means of histogram
Izabel Regina Fischer Rubira-Bullen1, Maurício Cunha Escarpinati, Homero Schiabel
1Department of Stomatology, Bauru School of Dentistry, University of São Paulo, Bauru, Brazil. izrubira2000@yahoo.com.br
Unlabelled:
To evaluate the performance of three digital devices regarding the noise added to digital radiographic images containing different optical densities.
Methods:
A radiographic image was digitized repeatedly ten times using two scanners (HP 4c/T and HP 5370C) and a digital camera (Nikon 990). A histogram tool measured a mean pixel value and the standard deviation of the region of interest in each image. Both values were used to calculate the image noise at the different optical densities.
Results:
The noise values found were different for all devices and optical densities. There was a statistically significant difference (p<0.05) between the scanner HP 4c/T and the digital camera regarding the noise values. There was a significant correlation (p<0.05) between the noise values found for the HP 4c/T scanner and the digital camera and between both scanners (p<0.01).
Conclusion:
The noise added to the image was higher for scanner HP 4c/T and less for the digital camera. The noise was higher at the lower optical densities for the scanners. It seems that depending on the equipment and the optical density, a variable amount of noise can be incorporated to the images.
