{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:54:52Z","timestamp":1760144092802,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T00:00:00Z","timestamp":1710979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Dental 3D modeling plays a pivotal role in digital dentistry, offering precise tools for treatment planning, implant placement, and prosthesis customization. Traditional methods rely on physical plaster casts, which pose challenges in storage, accessibility, and accuracy, fueling interest in digitization using 3D computed tomography (CT) imaging. We introduce a method that can reduce both artifacts simultaneously. To validate the proposed method, we carried out CT scan experiments using plaster dental casts created from dental impressions. After the artifact correction, the CT image quality was greatly improved in terms of image uniformity, contrast-to-noise ratio (CNR), and edge sharpness. We examined the correction effects on the accuracy of the 3D models generated from the CT images. As referenced to the 3D models derived from the optical scan data, the root mean square (RMS) errors were reduced by 8.8~71.7% for three dental casts of different sizes and shapes. Our method offers a solution to challenges posed by artifacts in CT scanning of plaster dental casts, leading to enhanced 3D model accuracy. This advancement holds promise for dental professionals seeking precise digital modeling for diverse applications in dentistry.<\/jats:p>","DOI":"10.3390\/s24061995","type":"journal-article","created":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T04:34:46Z","timestamp":1710995686000},"page":"1995","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["3D Digital Modeling of Dental Casts from Their 3D CT Images with Scatter and Beam-Hardening Correction"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7192-2641","authenticated-orcid":false,"given":"Mohamed A. A.","family":"Hegazy","sequence":"first","affiliation":[{"name":"R&D Center, Ray, Seongnam 13494, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Myung Hye","family":"Cho","sequence":"additional","affiliation":[{"name":"R&D Center, Ray, Seongnam 13494, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min Hyoung","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Kyung Hee University, Yongin 17104, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7573-2079","authenticated-orcid":false,"given":"Soo Yeol","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Kyung Hee University, Yongin 17104, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Kulczyk, T., Rychlik, M., Lorkiewicz-Muszy\u0144ska, D., Abreu-G\u0142owacka, M., Czajka-Jakubowska, A., and Przysta\u0144ska, A. (2019). Computed Tomography versus Optical Scanning: A Comparison of Different Methods of 3D Data Acquisition for Tooth Replication. Biomed Res. Int., 2019.","DOI":"10.1155\/2019\/4985121"},{"key":"ref_2","first-page":"791","article-title":"Accuracy Comparison of the Optical 3d Scanner and CT Scanner","volume":"20","author":"Mendricky","year":"2020","journal-title":"Manuf. Technol."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Jacobs, R., Salmon, B., Codari, M., Hassan, B., and Bornstein, M.M. (2018). Cone Beam Computed Tomography in Implant Dentistry: Recommendations for Clinical Use. BMC Oral Health, 18.","DOI":"10.1186\/s12903-018-0523-5"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/0002-9416(83)90320-2","article-title":"An Examination of Dental Crowding and Its Relationship to Tooth Size and Arch Dimension","volume":"83","author":"Howe","year":"1983","journal-title":"Am. J. Orthod."},{"key":"ref_5","unstructured":"Ritter, A.V., Boushell, L.W., and Walter, R. (2019). Sturdevant\u2019s Art and Science of Operative Dentistry, Elsevier."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1111\/jerd.12894","article-title":"Predictable Digital Restorative Workflow for Minimally Invasive Esthetic Rehabilitation Utilizing a Virtual Patient Model with Global Diagnosis Principle","volume":"34","author":"Li","year":"2022","journal-title":"J. Esthet. Restor. Dent."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Cho, M.H., Hegazy, M.A.A., Cho, M.H., and Lee, S.Y. (2022). Cone-Beam Angle Dependency of 3D Models Computed from Cone-Beam CT Images. Sensors, 22.","DOI":"10.3390\/s22031253"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"065024","DOI":"10.1088\/1361-6501\/ac5133","article-title":"CAD-Based x-Ray CT Calibration and Error Compensation","volume":"33","author":"Fragnaud","year":"2022","journal-title":"Meas. Sci. Technol."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Yang, C.C. (2016). Characterization of Scattered X-Ray Photons in Dental Cone-Beam Computed Tomography. PLoS ONE, 11.","DOI":"10.1371\/journal.pone.0149904"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1007\/s10527-014-9377-6","article-title":"Assessment of Effect of Radiation Scattered in a Patient\u2019s Body on Parameters of Digital X-Ray Image Formation Channel","volume":"47","author":"Zelikman","year":"2014","journal-title":"Biomed. Eng."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Law, W.-Y., Huang, G.-L., and Yang, C.-C. (2022). Effect of Body Mass Index in Coronary CT Angiography Performed on a 256-Slice Multi-Detector CT Scanner. Diagnostics, 12.","DOI":"10.3390\/diagnostics12020319"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Hsieh, J. (2022). Computed Tomography: Principles, Design, Artifacts, and Recent Advances, Wiley Interscience. [4th ed.].","DOI":"10.1117\/3.2605933"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"593","DOI":"10.11607\/jomi.3409","article-title":"Diagnostic Accuracy of Cone Beam Computed Tomography for Dimensional Linear Measurements in the Mandible","volume":"29","author":"Machtei","year":"2014","journal-title":"Int. J. Oral Maxillofac. Implant."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"6275","DOI":"10.1088\/0031-9155\/52\/20\/013","article-title":"Efficiency of Antiscatter Grids for Flat-Detector CT","volume":"52","author":"Kyriakou","year":"2007","journal-title":"Phys. Med. Biol."},{"key":"ref_15","first-page":"65102E","article-title":"Coupling the Use of Anti-Scatter Grid with Analytical Scatter Estimation in Cone Beam CT","volume":"Volume 6510","author":"Hsieh","year":"2007","journal-title":"Proceedings of the Medical Imaging 2007: Physics of Medical Imaging"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"051915","DOI":"10.1118\/1.4801895","article-title":"Monte Carlo Study of the Effects of System Geometry and Antiscatter Grids on Cone-beam CT Scatter Distributions","volume":"40","author":"Sisniega","year":"2013","journal-title":"Med. Phys."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1118\/1.597792","article-title":"Scattered Radiation in Portal Images: A Monte Carlo Simulation and a Simple Physical Model","volume":"23","author":"Swindell","year":"1996","journal-title":"Med. Phys."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1477","DOI":"10.1118\/1.598036","article-title":"Extraction of Primary Signal from EPIDs Using Only Forward Convolution","volume":"24","author":"Hansen","year":"1997","journal-title":"Med. Phys."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1088\/0031-9155\/46\/3\/316","article-title":"Correction of Scatter in Megavoltage Cone-Beam CT","volume":"46","author":"Spies","year":"2001","journal-title":"Phys. Med. Biol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.zemedi.2009.03.001","article-title":"Enhancement of Image Quality with a Fast Iterative Scatter and Beam Hardening Correction Method for KV CBCT","volume":"19","author":"Reitz","year":"2009","journal-title":"Z. Med. Phys."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"76221I","DOI":"10.1117\/12.844564","article-title":"Improved CT Image Quality Using a New Fully Physical Imaging Chain","volume":"Volume 7622","author":"Wiegert","year":"2010","journal-title":"Proceedings of the Medical Imaging 2010: Physics of Medical Imaging"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1118\/1.4903260","article-title":"Efficient Scatter Distribution Estimation and Correction in CBCT Using Concurrent Monte Carlo Fitting","volume":"42","author":"Bootsma","year":"2015","journal-title":"Med. Phys."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"3574","DOI":"10.1002\/mp.13041","article-title":"Effect of Detruncation on the Accuracy of Monte Carlo-Based Scatter Estimation in Truncated CBCT","volume":"45","author":"Waltrich","year":"2018","journal-title":"Med. Phys."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1118\/1.596088","article-title":"Scatter-Glare Correction Using a Convolution Algorithm with Variable Weighting","volume":"14","author":"Naimuddin","year":"1987","journal-title":"Med. Phys."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1118\/1.596186","article-title":"An Analytical Model of the Scattered Radiation Distribution in Diagnostic Radiology","volume":"15","author":"Boone","year":"1988","journal-title":"Med. Phys."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1118\/1.596208","article-title":"X-ray Scatter Removal by Deconvolution","volume":"15","author":"Seibert","year":"1988","journal-title":"Med. Phys."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4633","DOI":"10.1088\/0031-9155\/52\/15\/018","article-title":"A New Method for X-Ray Scatter Correction: First Assessment on a Cone-Beam CT Experimental Setup","volume":"52","author":"Rinkel","year":"2007","journal-title":"Phys. Med. Biol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"6729","DOI":"10.1088\/0031-9155\/53\/23\/006","article-title":"Scatter Kernel Estimation with an Edge-Spread Function Method for Cone-Beam Computed Tomography Imaging","volume":"53","author":"Li","year":"2008","journal-title":"Phys. Med. Biol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1791","DOI":"10.1109\/TMI.2008.928922","article-title":"Algorithm for X-Ray Scatter, Beam-Hardening, and Beam Profile Correction in Diagnostic (Kilovoltage) and Treatment (Megavoltage) Cone Beam CT","volume":"27","author":"Maltz","year":"2008","journal-title":"IEEE Trans. Med. Imaging"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"6695","DOI":"10.1088\/0031-9155\/55\/22\/007","article-title":"Improved Scatter Correction Using Adaptive Scatter Kernel Superposition","volume":"55","author":"Sun","year":"2010","journal-title":"Phys. Med. Biol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.ndteint.2015.11.004","article-title":"Scattering Correction Using Continuously Thickness-Adapted Kernels","volume":"78","author":"Bhatia","year":"2016","journal-title":"NDT E Int."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1007\/s003300050710","article-title":"Efficient Object Scatter Correction Algorithm for Third and Fourth Generation CT Scanners","volume":"9","author":"Ohnesorge","year":"1999","journal-title":"Eur. Radiol."},{"key":"ref_33","unstructured":"Fahrig, R., Sabol, J.M., and Yu, L. (2010, January 19\u201323). Adaptive Kernel-Based Scatter Correction for Multi-Source Stationary CT with Non-Circular Geometry. Proceedings of the Medical Imaging 2023: Physics of Medical Imaging, San Diego, CA, USA."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"7980","DOI":"10.1002\/mp.16681","article-title":"A Quantitative CBCT Pipeline Based on 2D Antiscatter Grid and Grid-Based Scatter Sampling for Image-Guided Radiation Therapy","volume":"50","author":"Bayat","year":"2023","journal-title":"Med. Phys."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Hegazy, M.A.A., Cho, M.H., Cho, M.H., and Lee, S.Y. (2023). Metal Artifact Reduction in Dental CBCT Images Using Direct Sinogram Correction Combined with Metal Path-Length Weighting. Sensors, 23.","DOI":"10.3390\/s23031288"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1117\/12.2292198","article-title":"Influence of Data Completion on Scatter Artifact Correction for Truncated Cone-Beam CT Data","volume":"Volume 10573","author":"Waltrich","year":"2018","journal-title":"Proceedings of the Medical Imaging 2018: Physics of Medical Imaging"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Hegazy, M.A.A., Cho, M.H., and Lee, S.Y. (2021). Half-Scan Artifact Correction Using Generative Adversarial Network for Dental CT. Comput. Biol. Med., 132.","DOI":"10.1016\/j.compbiomed.2021.104313"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Hegazy, M.A.A., Cho, M.H., and Lee, S.Y. (2016). A Metal Artifact Reduction Method for a Dental CT Based on Adaptive Local Thresholding and Prior Image Generation. Biomed. Eng. Online, 15.","DOI":"10.1186\/s12938-016-0240-8"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/j.compbiomed.2018.10.028","article-title":"A Motion Artifact Reduction Method for Dental CT Based on Subpixel-Resolution Image Registration of Projection Data","volume":"103","author":"Eldib","year":"2018","journal-title":"Comput. Biol. Med."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/6\/1995\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:17:10Z","timestamp":1760105830000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/6\/1995"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,21]]},"references-count":39,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,3]]}},"alternative-id":["s24061995"],"URL":"https:\/\/doi.org\/10.3390\/s24061995","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2024,3,21]]}}}