Effect of image sharpening on radiographic image quality

Area of Science:

• Dental Radiology
• Medical Imaging Analysis

Background:

• Unsharp masking (USM) is an image sharpening algorithm used in digital radiography.
• USM can introduce artifacts, such as overshoot, which may compromise diagnostic value.
• The impact of USM-induced artifacts on digital dental image quality requires thorough investigation.

Purpose of the Study:

• To evaluate the effect of unsharp masking (USM) on digital dental radiographic quality.
• To quantify the extent of overshoot artifacts generated by USM.

Main Methods:

• Three digital sensors (two CMOS, one PSP) were used with a dental imaging phantom to assess image quality parameters.
• Radiographic noise was measured without the phantom.
• Images were subjected to standard and high levels of sharpening, with overshoot measured and analyzed using Friedman 2-way ANOVA.

Main Results:

• Image sharpening significantly impacted spatial resolution and noise levels.
• Dynamic range and contrast resolution were not significantly affected by sharpening.
• Overshoot artifacts demonstrably increased with the degree of image sharpening.

Conclusions:

• While image sharpening enhances visual perception of digital dental radiographs, it significantly increases overshoot artifacts.
• These artifacts can adversely affect radiographic diagnosis and potentially lead to inaccurate interpretations.
• The study highlights that image sharpening can introduce detrimental artifacts impacting diagnostic accuracy.