Dental cone beam CT: An updated review

T Kaasalainen, M Ekholm, T Siiskonen, M Kortesniemi - Physica Medica, 2021 - Elsevier
Cone beam computed tomography (CBCT) is a diverse 3D x-ray imaging technique that has
gained significant popularity in dental radiology in the last two decades. CBCT overcomes …

Integration of imaging modalities in digital dental workflows-possibilities, limitations, and potential future developments

S Shujaat, MM Bornstein, JB Price… - Dentomaxillofacial …, 2021 - academic.oup.com
The digital workflow process follows different steps for all dental specialties. However, the
main ingredient for the diagnosis, treatment planning and follow-up workflow recipes is the …

Synergy between artificial intelligence and precision medicine for computer-assisted oral and maxillofacial surgical planning

S Shujaat, M Riaz, R Jacobs - Clinical Oral Investigations, 2023 - Springer
Objectives The aim of this review was to investigate the application of artificial intelligence
(AI) in maxillofacial computer-assisted surgical planning (CASP) workflows with the …

Automatic segmentation of the pharyngeal airway space with convolutional neural network

S Shujaat, O Jazil, H Willems, A Van Gerven… - Journal of Dentistry, 2021 - Elsevier
Objectives This study proposed and investigated the performance of a deep learning based
three-dimensional (3D) convolutional neural network (CNN) model for automatic …

Accuracy and precision of mandible segmentation and its clinical implications: virtual reality, desktop screen and artificial intelligence

LJ Gruber, J Egger, A Bönsch, J Kraeima… - Expert Systems with …, 2024 - Elsevier
Objective 3D modeling is a major challenge in computer-assisted surgery (CAS). Manual
segmentation, as the gold standard, is tedious, time consuming, and particularly challenging …

[HTML][HTML] Automated detection and labelling of teeth and small edentulous regions on cone-beam computed tomography using convolutional neural networks

M do Nascimento Gerhardt, RC Fontenele, AF Leite… - Journal of Dentistry, 2022 - Elsevier
Objective To assess the accuracy of a novel Artificial Intelligence (AI)-driven tool for
automated detection of teeth and small edentulous regions on Cone-Beam Computed …

An overview of three‐dimensional imaging devices in dentistry

X Hou, X Xu, M Zhao, J Kong, M Wang… - Journal of Esthetic …, 2022 - Wiley Online Library
Objective To review four types of three‐dimensional imaging devices: intraoral scanners,
extraoral scanners, cone‐beam computed tomography (CBCT), and facial scanners, in …

Evaluation of the feasibility of a multisource CBCT for maxillofacial imaging

S Xu, B Li, CR Inscoe, D Bastawros… - Physics in Medicine …, 2023 - iopscience.iop.org
Objective. The aim of this study was to investigate the feasibility of improving the image
quality and accuracy of cone beam computed tomography (CBCT) by replacing the …

Volumetric computed tomography with carbon nanotube X-ray source array for improved image quality and accuracy

S Xu, Y Hu, B Li, CR Inscoe, DA Tyndall… - Communications …, 2023 - nature.com
Cone beam computed tomography (CBCT) is widely used in medical and dental imaging.
Compared to a multidetector CT, it provides volumetric images with high isotropic resolution …

Radiographic modalities for diagnosis of caries in a historical perspective: from film to machine-intelligence supported systems

A Wenzel - Dentomaxillofacial Radiology, 2021 - academic.oup.com
Radiographic imaging for the diagnosis of caries lesions has been a supplement to clinical
examination for approximately a century. Various methods, and particularly X-ray receptors …