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Cone-Beam Angle Dependency of 3D Models Computed from Cone-Beam CT Images

Cone-beam dental CT can provide high-precision 3D images of the teeth and surrounding bones. From the 3D CT images, 3D models, also called digital impressions, can be computed for CAD/CAM-based fabrication of dental restorations or orthodontic devices. However, the cone-beam angle-dependent artifact...

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Autores principales: Cho, Myung Hye, Hegazy, Mohamed A. A., Cho, Min Hyoung, Lee, Soo Yeol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837983/
https://www.ncbi.nlm.nih.gov/pubmed/35162003
http://dx.doi.org/10.3390/s22031253
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author Cho, Myung Hye
Hegazy, Mohamed A. A.
Cho, Min Hyoung
Lee, Soo Yeol
author_facet Cho, Myung Hye
Hegazy, Mohamed A. A.
Cho, Min Hyoung
Lee, Soo Yeol
author_sort Cho, Myung Hye
collection PubMed
description Cone-beam dental CT can provide high-precision 3D images of the teeth and surrounding bones. From the 3D CT images, 3D models, also called digital impressions, can be computed for CAD/CAM-based fabrication of dental restorations or orthodontic devices. However, the cone-beam angle-dependent artifacts, mostly caused by the incompleteness of the projection data acquired in the circular cone-beam scan geometry, can induce significant errors in the 3D models. Using a micro-CT, we acquired CT projection data of plaster cast models at several different cone-beam angles, and we investigated the dependency of the model errors on the cone-beam angle in comparison with the reference models obtained from the optical scanning of the plaster models. For the 3D CT image reconstruction, we used the conventional Feldkamp algorithm and the combined half-scan image reconstruction algorithm to investigate the dependency of the model errors on the image reconstruction algorithm. We analyzed the mean of positive deviations and the mean of negative deviations of the surface points on the CT-image-derived 3D models from the reference model, and we compared them between the two image reconstruction algorithms. It has been found that the model error increases as the cone-beam angle increases in both algorithms. However, the model errors are smaller in the combined half-scan image reconstruction when the cone-beam angle is as large as 10 degrees.
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spelling pubmed-88379832022-02-13 Cone-Beam Angle Dependency of 3D Models Computed from Cone-Beam CT Images Cho, Myung Hye Hegazy, Mohamed A. A. Cho, Min Hyoung Lee, Soo Yeol Sensors (Basel) Article Cone-beam dental CT can provide high-precision 3D images of the teeth and surrounding bones. From the 3D CT images, 3D models, also called digital impressions, can be computed for CAD/CAM-based fabrication of dental restorations or orthodontic devices. However, the cone-beam angle-dependent artifacts, mostly caused by the incompleteness of the projection data acquired in the circular cone-beam scan geometry, can induce significant errors in the 3D models. Using a micro-CT, we acquired CT projection data of plaster cast models at several different cone-beam angles, and we investigated the dependency of the model errors on the cone-beam angle in comparison with the reference models obtained from the optical scanning of the plaster models. For the 3D CT image reconstruction, we used the conventional Feldkamp algorithm and the combined half-scan image reconstruction algorithm to investigate the dependency of the model errors on the image reconstruction algorithm. We analyzed the mean of positive deviations and the mean of negative deviations of the surface points on the CT-image-derived 3D models from the reference model, and we compared them between the two image reconstruction algorithms. It has been found that the model error increases as the cone-beam angle increases in both algorithms. However, the model errors are smaller in the combined half-scan image reconstruction when the cone-beam angle is as large as 10 degrees. MDPI 2022-02-07 /pmc/articles/PMC8837983/ /pubmed/35162003 http://dx.doi.org/10.3390/s22031253 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cho, Myung Hye
Hegazy, Mohamed A. A.
Cho, Min Hyoung
Lee, Soo Yeol
Cone-Beam Angle Dependency of 3D Models Computed from Cone-Beam CT Images
title Cone-Beam Angle Dependency of 3D Models Computed from Cone-Beam CT Images
title_full Cone-Beam Angle Dependency of 3D Models Computed from Cone-Beam CT Images
title_fullStr Cone-Beam Angle Dependency of 3D Models Computed from Cone-Beam CT Images
title_full_unstemmed Cone-Beam Angle Dependency of 3D Models Computed from Cone-Beam CT Images
title_short Cone-Beam Angle Dependency of 3D Models Computed from Cone-Beam CT Images
title_sort cone-beam angle dependency of 3d models computed from cone-beam ct images
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837983/
https://www.ncbi.nlm.nih.gov/pubmed/35162003
http://dx.doi.org/10.3390/s22031253
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AT leesooyeol conebeamangledependencyof3dmodelscomputedfromconebeamctimages