• Journal of Digital Convergence
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• v.12 no.2
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• pp.439-446
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• 2014

To evaluate the effects of an artifact by metal material for orthodontics in Magnetic Resonance Image (MRI) examination, wires and brackets used in orthodontics were selected and compared. Using a head coil, a $T_2$-weighted image, $T_1$-weighted image and FLAIR image were obtained. With obtained images, the sizes of the artifacts were measured and compared using Image J Program. In the research, the material with the biggest artifact in the wires and brackets for orthodontics was stainless steel wire. In the future, selecting and developing metal for correction should be considered also in other fields along with the purpose of orthodontics.

• The Journal of the Korean dental association
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• v.57 no.1
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• pp.26-33
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• 2018

Panoramic radiography is widely used as a primary radiological diagnosis in dentistry. However, due to the overlapping of anatomical structures, diagnostic capability of panoramic radiography is limited. Recently, panoramic machine equipped with various image processing software has been introduced to improve the diagnostic capability. This study aims to introduce panoramic equipment with multi-layer imaging software that can provide 41 images from anterior to posterior in region of interest, and to report in various clinical applications.

• The Journal of Korean Academy of Prosthodontics
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• v.62 no.3
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• pp.183-192
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• 2024

Purpose. This study aimed to evaluate the reliability and information quality of YouTube videos on implant overdenture searched in two languages (Korean and English). Materials and methods. Youtube, an online video sharing platform was searched using search terms in two different languages related to implant overdenture. A total of 120 videos were selected (60 videos for each search term), then the reliability and information quality of the videos were evaluated. Topic domain, DISCERN instrument, and JAMA benchmark were used to evaluate the reliability and information quality of the videos. Statistical analyses were performed by using the Mann-Whitney U test and Kruskal-Wallis test. Results. Out of a total of 120 videos, the topic domain scores of 78 (65.0%) videos were evaluated as 'poor', and the DISCERN scores of 104.5 (87.1%) videos were evaluated as 'very poor' and 'poor'. The Korean videos had significantly higher topic domain scores and DISCERN scores than the English videos (P < .05). 3.5 Korean videos and 4 English videos met the criteria for attribution of JAMA benchmark. Conclusion. The reliability and information quality of YouTube videos on implant overdenture were low.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.117-122
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• 2018

In this study, HU(hounsfield unit) value of CT generated by dental prosthesis was measured according to the type of metal when PET-CT was performed, and the degree of distortion and standard deviation of SUV(standard uptake value) and to propose a method to reduce errors in image reading. PET-CT was performed using actual teeth, metal crown, gold crown, titanium, and zirconia dental prosthesis. Compared with general teeth, the SUV value increased with increasing HU value. The SUV value of metal crown, titanium, and zirconia was increased by 37% and the gold crown increased by 45.4%. In addition, image distortions were small in general teeth, metal crown, titanium, and zirconia, but hard curing of the gold crown occurred and image distortion occurred. Therefore, since the metal type of the dental prosthesis affects the SUV value, the NAC(non attenuation correction) PET image of the dental prosthesis can be helpful in the diagnosis of the patient using the gold material.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.59-64
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• 2023

With the recent development of IT technology, medical image processing technology is also widely used in the dental field, and the treatment effect is enhanced by using 3D data such as CT. In this paper, open source libraries such as ITK and VTK are introduced to develop dental medical image processing software, and how to use them to develop dental medical image processing software centering on 3D CBCT. In ITK, basic algorithms for medical image processing are implemented, so the image processing pipeline can be quickly implemented, and the desired algorithm can be easily implemented as a filter by the developer. The developed algorithm is linked with VTK to implement the visualization function. The developed SW can be used for dental diagnosis and treatment that overcomes the limitations of 2D images..

• The Journal of the Korean dental association
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• v.45 no.6 s.457
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• pp.355-361
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• 2007

• The Journal of the Korean dental association
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• v.46 no.8
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• pp.472-478
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• 2008

• The Journal of the Korean dental association
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• v.46 no.8
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• pp.479-485
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• 2008

• The Journal of the Korean dental association
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• v.46 no.8
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• pp.486-493
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• 2008

• Journal of the Korean Society of Radiology
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• v.15 no.2
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• pp.153-158
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• 2021

X-ray image analysis is a very important field to improve the early diagnosis rate and prediction accuracy of periodontal disease. Research on the development and application of artificial intelligence-based algorithms to improve the quality of such dental X-ray images is being widely conducted worldwide. Thus, the aim of this study was to design a super-resolution algorithm for predicting periodontal disease and to evaluate its applicability in dental X-ray images. The super-resolution algorithm was constructed based on the convolution layer and ReLU, and an image obtained by up-sampling a low-resolution image by 2 times was used as an input data. Also, 1,500 dental X-ray data used for deep learning training were used. Quantitative evaluation of images used root mean square error and structural similarity, which are factors that can measure similarity through comparison of two images. In addition, the recently developed no-reference based natural image quality evaluator and blind/referenceless image spatial quality evaluator were additionally analyzed. According to the results, we confirmed that the average similarity and no-reference-based evaluation values were improved by 1.86 and 2.14 times, respectively, compared to the existing bicubic-based upsampling method when the proposed method was used. In conclusion, the super-resolution algorithm for predicting periodontal disease proved useful in dental X-ray images, and it is expected to be highly applicable in various fields in the future.