Szczegóły publikacji
Opis bibliograficzny
Improving endodontic radiograph interpretation with TV-CLAHE for enhanced root canal detection / Barbara Obuchowicz, Joanna Zarzecka, Michał Strzelecki, Marzena Jakubowska, Rafał Obuchowicz, Adam PIÓRKOWSKI, Elżbieta Zarzecka-Francica, Julia LASEK // Journal of Clinical Medicine [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2077-0383. — 2025 — vol. 14 iss. 15 art. no. 5554, s. 1–19. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 17–19, Abstr. — Publikacja dostępna online od: 2025-08-06
Autorzy (8)
- Obuchowicz Barbara
- Zarzecka Joanna
- Strzelecki Michał
- Jakubowska Marzena
- Obuchowicz Rafał
- AGHPiórkowski Adam
- Zarzecka-Francica Elżbieta
- AGHLasek Julia
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 162522 |
|---|---|
| Data dodania do BaDAP | 2025-09-17 |
| Tekst źródłowy | URL |
| DOI | 10.3390/jcm14155554 |
| Rok publikacji | 2025 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Journal of Clinical Medicine |
Abstract
Objective: The accurate visualization of root canal systems on periapical radiographs is critical for successful endodontic treatment. This study aimed to evaluate and compare the effectiveness of several image enhancement algorithms—including a novel Total Variation–Contrast-Limited Adaptive Histogram Equalization (TV-CLAHE) technique—in improving the detectability of root canal configurations in mandibular incisors, using cone-beam computed tomography (CBCT) as the gold standard. A null hypothesis was tested, assuming that enhancement methods would not significantly improve root canal detection compared to original radiographs. Method: A retrospective analysis was conducted on 60 periapical radiographs of mandibular incisors, resulting in 420 images after applying seven enhancement techniques: Histogram Equalization (HE), Contrast-Limited Adaptive Histogram Equalization (CLAHE), CLAHE optimized with Pelican Optimization Algorithm (CLAHE-POA), Global CLAHE (G-CLAHE), k-Caputo Fractional Differential Operator (KCFDO), and the proposed TV-CLAHE. Four experienced observers (two radiologists and two dentists) independently assessed root canal visibility. Subjective evaluation was performed using an own scale inspired by a 5-point Likert scale, and the detection accuracy was compared to the CBCT findings. Quantitative metrics including Peak Signal-to-Noise Ratio (PSNR), Signal-to-Noise Ratio (SNR), image entropy, and Structural Similarity Index Measure (SSIM) were calculated to objectively assess image quality. Results: Root canal detection accuracy improved across all enhancement methods, with the proposed TV-CLAHE algorithm achieving the highest performance (93–98% accuracy), closely approaching CBCT-level visualization. G-CLAHE also showed substantial improvement (up to 92%). Statistical analysis confirmed significant inter-method differences (p < 0.001). TV-CLAHE outperformed all other techniques in subjective quality ratings and yielded superior SNR and entropy values. Conclusions: Advanced image enhancement methods, particularly TV-CLAHE, significantly improve root canal visibility in 2D radiographs and offer a practical, low-cost alternative to CBCT in routine dental diagnostics. These findings support the integration of optimized contrast enhancement techniques into endodontic imaging workflows to reduce the risk of missed canals and improve treatment outcomes.
