Academic Journal
Optimization of CBCT data with image processing methods and production with fused deposition modeling 3D printing.
| Τίτλος: | Optimization of CBCT data with image processing methods and production with fused deposition modeling 3D printing. |
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| Συγγραφείς: | Sayin H; Department of Mechatronics Engineering, Faculty of Technology, Isparta University of Applied Sciences, Isparta, Turkey., Aksoy B; Department of Mechatronics Engineering, Faculty of Technology, Isparta University of Applied Sciences, Isparta, Turkey. bekiraksoy@isparta.edu.tr., Özsoy K; Department of Machine and Metal Technologies, Isparta OSB Vocational School, Isparta University of Applied Sciences, Isparta, Turkey., Yildirim D; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Suleyman Demirel University, Isparta, Turkey. |
| Πηγή: | Medical & biological engineering & computing [Med Biol Eng Comput] 2025 Aug; Vol. 63 (8), pp. 2235-2246. Date of Electronic Publication: 2023 Jul 28. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE |
| Imprint Name(s): | Publication: New York, NY : Springer Original Publication: Stevenage, Eng., Peregrinus. |
| Ιατρικοί όροι (MeSH): | Cone-Beam Computed Tomography*/methods , Image Processing, Computer-Assisted*/methods , Printing, Three-Dimensional*, Imaging, Three-Dimensional/methods ; Humans ; Artifacts ; Algorithms |
| Περίληψη: | The present study has investigated the effect of the removal of artifacts in cone beam computed tomography (CBCT) images with image processing techniques to dental implant planning. The aim of this study has been to benefit from the novel image processing techniques and additive manufacturing technologies in order to change the existing approach in the usage of the 3D model in the orthogonal surgery, traumatic cases, and tumor operations and to solve the restrictions in surgical operations. In the study, firstly, 3 × 3, 5 × 5, and 7 × 7 kernel values were determined on the CBCT image data of the patient. The determined kernel values were applied on CBCT images by choosing median, median-mean-Gaussian (MMG), and bilateral filters, which are quite successful in removing noise in medical images. A thresholding process to separate teeth and bones from soft tissue regions on CBCT images, histogram normalization for a balanced color distribution, morphology operations to reduce noise areas, and tooth and bone boundaries were determined as closely as possible to patient anatomy. The original image and the images obtained from image enhancement techniques were compared. Results showed that the 3 × 3 median filtering method from three different kernel values out of three different image processing methods used in the study greatly improved the artifacts. It has also been shown that the availability of image processing and additive manufacturing methods on CBCT images has been shown to be a highly important factor before dental surgery planning. (© 2023. International Federation for Medical and Biological Engineering.) |
| Competing Interests: | Declarations. Ethics approval: The study was carried out on patients with the approval of the Suleyman Demirel University Faculty of Medicine Clinical Research Ethics Committee (72867572–050.01.04–167747). Conflict of interest: The authors declare no competing interests. |
| Σχόλια: | Erratum in: Med Biol Eng Comput. 2025 Aug;63(8):2247. doi: 10.1007/s11517-024-03277-8.. (PMID: 39760967) |
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| Contributed Indexing: | Keywords: 3D printer; CBCT; Image processing; Optimization |
| Entry Date(s): | Date Created: 20230728 Date Completed: 20250801 Latest Revision: 20250801 |
| Update Code: | 20260130 |
| DOI: | 10.1007/s11517-023-02889-w |
| PMID: | 37505414 |
| Βάση Δεδομένων: | MEDLINE |
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