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

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      Dentomaxillofacial Radiology
      British Institute of Radiology

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          Abstract

          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, have been developed over the years, and computer systems have focused on aiding the dentist in the detection of lesions and in estimating lesion depth. The present historical review has sampled accuracy ex vivo studies and clinical studies on radiographic caries diagnosis that have compared two or more receptors for capturing the image. The epochs of film radiography, xeroradiography, digital intraoral radiography, panoramic radiography and other extraoral methods, TACT analysis, cone-beam CT and artificial intelligence systems aiding in decision-making are reviewed. The author of this review (43 years in academia) has been involved in caries research and contributed to the literature in all the mentioned epochs.

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          Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm

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            Artefacts in CBCT: a review.

            Artefacts are common in today's cone beam CT (CBCT). They are induced by discrepancies between the mathematical modelling and the actual physical imaging process. Since artefacts may interfere with the diagnostic process performed on CBCT data sets, every user should be aware of their presence. This article aims to discuss the most prominent artefacts identified in the scientific literature and review the existing knowledge on these artefacts. We also briefly review the basic three-dimensional (3D) reconstruction concept applied by today's CBCT scanners, as all artefacts are more or less directly related to it.
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              A new volumetric CT machine for dental imaging based on the cone-beam technique: preliminary results

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                Author and article information

                Journal
                Dentomaxillofacial Radiology
                Dentomaxillofacial Radiology
                British Institute of Radiology
                0250-832X
                1476-542X
                July 01 2021
                July 01 2021
                : 50
                : 5
                : 20210010
                Affiliations
                [1 ]Oral Radiology, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark
                Article
                10.1259/dmfr.20210010
                33661697
                7a2785f6-796c-4b31-9a9e-103a6f8d3368
                © 2021
                History

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