• Imaging Science in Dentistry
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• 제47권1호
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• pp.11-15
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• 2017

Purpose: This study was performed to investigate the intra- and inter-observer variability in linear measurements with axial images obtained by PreXion (PreXion Inc., San Mateo, USA) and i-CAT(Imaging Sciences International, Xoran Technologies Inc., Hatfield, USA) CBCT scanners, with different voxel sizes. Materials and Methods: A cylindrical object made from nylon with radiopaque markers (phantom) was scanned by i-CAT and PreXion 3D devices. For each axial image, measurements were taken twice in the horizontal(distance A-B) and vertical (distance C-D) directions, randomly, with a one-week interval between measurements, by four oral radiologists with five years or more experience in the use of these measuring tools. Results: All of the obtained linear measurements had lower values than those of the phantom. The statistical analysis showed high intra- and inter-observer reliability (p=0.297). Compared to the real measurements, the measurements obtained using the i-CAT device and PreXion tomography, on average, revealed absolute errors ranging from 0.22 to 0.59 mm and from 0.23 to 0.63 mm, respectively. Conclusion: It can be concluded that both scanners are accurate, although the linear measurements are underestimations, with no significant differences between the evaluators.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2006년도 제33회 추계학술대회 발표논문집
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• pp.48-48
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• 2006

• 한국치위생학회지
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• 제16권2호
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• pp.205-214
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• 2016

Objectives: The purpose of the study is to investigate the current status and radiographic safety management in Korea. Methods: A self-reported questionnaire was completed by 200 dental hygienists in Jeonbuk province from September 1, 2014 and October 31, 2014. The questionnaire consisted of general characteristics of the subjects, radiation knowledge, radiation safety management, and radiation exposure anxiety. Data were analyzed using SPSS 18.0 program. Results: Duration of clinical experience(r=0.142) and number of daily radiation shot(r=0.145) showed a positive correlation to radiation safety management, and a nrgative correlation to use of intraoral films and digital devices(r=-0.587). A logistic regression analysis was performed in order to evaluate the influence on radiography knowledge. The results showed that the factors had significant influences on the age group over 41 years old(OR 7.25; 95% CI 1.30-40.43) and those who took a position above team leader(OR 0.23; 95% CI 0.59-0.90). Conclusions: It is very important to have the safety management toward dental intraoral imaging and radiograpgic shot in the dental hygienists. Continuous efforts should be emphasized on radiographic safety management and behavior.

• 대한치과의사협회지
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• 제55권11호
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• pp.800-807
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• 2017

Ultrasonography is one of the most common diagnostic tools in medical imaging with non-invasive and non-radiation loaded characteristics. In the field of dentistry, especially for periodontology, high frequency ultrasonic device can be used for several purposes such as evaluating gingival thickness, identifying the level of alveolar bone, measuring the volume of mucosa of donor site for soft tissue graft and so on. According to recent studies, it was demonstrated that ultrasonic diagnosis had both accuracy and repeatability comparable to conventional diagnostic tools. However, improvement and development of intra-oral probe suitable for adpatation to gingiva and palatal mucosa, are considered as prerequisites for diffusion of ultrasonic diagnosis in periodontology.

• 한국의학물리학회지:의학물리
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• 제26권1호
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• pp.52-58
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• 2015

본 연구팀이 개발한 신개념 강내형 치과 진단 장치에서 촬영한 X선 치아영상으로부터 치아 우식증을 조기 단계에서 판별하고 치과의사의 정확한 진단을 돕기 위해서 병변진단 보조시스템인 치아 와동 자동 검출 프로그램을 개발하고자 하였다. 치아 와동 자동 검출 시스템을 구성하고 있는 기본 알고리즘은 치아 와동과 정상 치아를 구분 할 수 있는 영상분별 알고리즘과 치아 영상의 고유 특성 정보를 분석하고 이를 병변 검출에 적용할 수 있는 알고리즘으로 나눌 수가 있는데, 본 연구에서는 먼저, DRLSE 방법을 적용하여 병변과 정상치아 사이의 윤곽선 분할 성능을 테스트 하였다. 개발된 알고리즘의 와식 판별 성능을 테스트하기 위해서 다양한 형태의 와식을 포함하는 전치, 견치, 소구치 등의 7개의 치아팬텀을 제작하고 치아 와식 분별을 실시하였다. 총 14 개의 와식 중에 와식의 경계를 부분적으로 식별한 2개를 제외하고는 12개 와식의 경계를 정확하게 구별하여 개발된 자동 치아 병변 알고리즘의 가능성을 입증하였다. 그러나 실제 치아 와식의 형태는 개개인마다 다르고 복잡하기 때문에 무작위로 선택된 실제 치아에 적용하기 위해서는 보강된 알고리즘이 필요하다. 향후에는 치아에 대한 사전정보를 처리하고 적용하는 패턴 인식 혹은 기계학습 알고리즘을 추가하여 보다 효과적이고 정확한 병변 알고리즘으로 개선할 예정이다.