[Digital image processing in endodontics].

Area of Science:

• Dentistry
• Radiology
• Digital Image Processing

Background:

• Endodontic follow-up radiographs are crucial for assessing treatment outcomes.
• Analyzing serial radiographs can be challenging due to varying imaging conditions and time intervals.
• Objective assessment of periapical lesions and hard tissue formation is vital for treatment evaluation.

Purpose of the Study:

• To evaluate the effectiveness of digital image processing techniques in improving the analysis of endodontic follow-up radiographs.
• To determine if image processing can enhance the diagnostic quality of radiographs taken under non-standardized conditions.

Main Methods:

• Digitization of conventional radiographs using a video camera.
• Application of standard digital image processing procedures: histogram equalization, histogram matching, and noise reduction.
• Comparison of processed and unprocessed radiographs for diagnostic assessment.

Main Results:

• Digital image processing techniques, including histogram equalization and noise reduction, facilitated the comparison of radiographs taken over long intervals.
• The applied methods improved the diagnostic accuracy for detecting the development of periapical lesions.
• Enhanced visualization of hard tissue formation in teeth with incomplete root formation was achieved.

Conclusions:

• Digital image processing offers a valuable tool for improving the analysis of endodontic follow-up radiographs.
• These techniques can overcome limitations associated with non-standardized radiographic conditions, leading to better diagnostic outcomes.
• The study highlights the potential of image processing to enhance diagnostic capabilities in endodontic practice.