• The Journal of Korean Academy of Prosthodontics
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• v.59 no.4
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• pp.451-458
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• 2021

Currently, digital technology is being used in various fields of dental treatment. In particular, in the case of anterior esthetic restoration, the traditional restoration method cannot contain facial information and it is difficult for the patient to predict the treatment result. However, in the case of esthetic restoration through digital design, the visualization of the prosthesis design and the ease of reflecting patient feedback, and expecting the treatment result is available. In this case, the patient confirmed the results of restoration treatment using a digital method before treatment and obtained consent for treatment in an anterior tooth trauma patient. In addition, since the conventional digital smile design method uses only the patient's facial and smile information, the design was made on a two-dimensional plane, and its application was somewhat limited. However, in this case, a three-dimensional virtual patient was created and thus the designed restoration was viewed from various angles. Through this case, it was possible to obtain a high degree of satisfaction with the ease of communication with the patient and the technician during the esthetic restoration using the digital method, the simplicity of the procedure, and the treatment result.

• Journal of the Korean Academy of Esthetic Dentistry
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• v.30 no.2
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• pp.71-90
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• 2021

The virtual patient dataset is a collection of diagnostic data from various sources acquired from a single patient into a coordinate system of three-dimensional visualization. Virtual patient dataset makes it possible to establish a treatment plan, simulate various treatment procedures, and create a treatment planning delivery device. Clinicians can design and simulate a patient's smile on the virtual patient dataset and select the optimal result from the diagnostic process. The selected treatment plan can be delivered identically to the patient using manufacturing techniques such as 3D printing, milling, and injection molding. The delivery of this treatment plan can be linked to the final prosthesis through mockup confirmation through provisional restoration fabrication and delivery in the patient's mouth. In this way, if the diagnostic data superimposition and processing accuracy during the manufacturing process are guaranteed, 3D digital smile design simulated in 3D visualization can be accurately delivered to the real patient. As a clinical application method of the virtual patient dataset, we suggest a decision-making method that can exclude occlusal adjustment treatment from the treatment plan through the digital occlusal pressure analysis. A comparative analysis of whole-body scans before and after temporomandibular joint treatment was suggested for adolescent idiopathic scoliosis patients with temporomandibular joint disease. Occlusal plane and smile aesthetic analysis based on the virtual patient dataset was presented when treating patients with complete dentures.

• 대한치과보철학회:학술대회논문집
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• 1994.05a
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• pp.57-58
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• 1994

• 대한치주과학회:학술대회논문집
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• 2001.12a
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• pp.116-116
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• 2001

• The Journal of the Korean dental association
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• v.32 no.3 s.298
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• pp.162-163
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• 1994

• The Journal of the Korean dental association
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• v.36 no.1 s.344
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• pp.70-71
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• 1998

• The Journal of the Korean dental association
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• v.34 no.3 s.322
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• pp.208-214
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• 1996

• 대한치과교정학회:학술대회논문집
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• 2000.11a
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• pp.51.2-51.2
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• 2000

• Management Science and Financial Engineering
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• v.20 no.1
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• pp.21-26
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• 2014

A lot of researches have been conducted to estimate the volatility smile effect shown in the option market. This paper proposes a method to approximate an implied volatility function, given noisy real market option data. To construct an implied volatility function, we use Gaussian Processes (GPs). Their output values are implied volatilities while moneyness values (the ratios of strike price to underlying asset price) and time to maturities are as their input values. To show the performances of our proposed method, we conduct experimental simulations with Korean Equity-Linked Warrant (ELW) market data as well as toy data.

• The Journal of the Korean dental association
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• v.48 no.9
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• pp.670-679
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• 2010

Esthetic demands for dental treatment are increasing every day. The interdisciplinary relationship of the restorative treatment, periodontal therapy and other treatments such as endodontics, orthodontics and so on is more emphasized nowadays to reconstruct the hard and soft tissue foundation for the esthetic restorative treatment. This article will focus on the periodontal plastic surgery for esthetic restorative treatment. These followings will be discussed. 1. Understand the relationship between teeth and gingival scaffold for esthetics 2. Discuss the classification and treatment of gummy smile 3. Recognize the gingival margin irregularities by gingival recession and how to achieve the harmonic soft tissue margins 4. describe the hard and soft tissue augmentation for ridge augmentation.