• Title/Summary/Keyword: 치과 수술 시뮬레이션

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Dental Surgery Simulation Using Haptic Feedback Device (햅틱 피드백 장치를 이용한 치과 수술 시뮬레이션)

  • Yoon Sang Yeun;Sung Su Kyung;Shin Byeong Seok
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.6
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    • pp.275-284
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    • 2023
  • Virtual reality simulations are used for education and training in various fields, and are especially widely used in the medical field recently. The education/training simulator consists of tactile/force feedback generation and image/sound output hardware that provides a sense similar to a doctor's treatment of a real patient using real surgical tools, and software that produces realistic images and tactile feedback. Existing simulators are complicated and expensive because they have to use various types of hardware to simulate various surgical instruments used during surgery. In this paper, we propose a dental surgical simulation system using a force feedback device and a morphable haptic controller. Haptic hardware determines whether the surgical tool collides with the surgical site and provides a sense of resistance and vibration. In particular, haptic controllers that can be deformed, such as length changes and bending, can express various senses felt depending on the shape of various surgical tools. When the user manipulates the haptic feedback device, events such as movement of the haptic feedback device or button clicks are delivered to the simulation system, resulting in interaction between dental surgical tools and oral internal models, and thus haptic feedback is delivered to the haptic feedback device. Using these basic techniques, we provide a realistic training experience of impacted wisdom tooth extraction surgery, a representative dental surgery technique, in a virtual environment represented by sophisticated three-dimensional models.

Impacted Wisdom Tooth Extraction Simulation using Haptic Controllers (햅틱 컨트롤러를 이용한 매복 사랑니 발치 수술 시뮬레이션)

  • Yoon, Sang-Yeun;Sung, Su-Kyung;Shin, Byeong-Seok
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.661-663
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    • 2022
  • 이 논문에서는 변형 가능한 햅틱 컨트롤러와 포스 피드백 장치를 이용한 치과 수술 시뮬레이션 시스템을 제안한다. 이 시스템은 가상 환경에서 매복 사랑니 발치 수술을 수행하도록 설계되었다. 햅틱 하드웨어들은 신체와 수술도구의 상대적 위치를 계산하여 충돌여부를 파악하고 저항감과 진동감을 제공한다. 특히 길이 변화, 굽힘 발생과 같은 변형이 가능한 햅틱 컨트롤러는 사용하는 수술도구에 따라 느껴지는 촉감을 표현할 수 있다. 정교한 3 차원 모델로 구강내부와 치과용 수술도구를 표현한 후 햅틱 컨트롤러의 움직임과 버튼 클릭 등의 입력 값을 전달하는 모듈을 통해 가상 객체와 상호 작용하고 이에 대한 햅틱 피드백을 컨트롤러로 전달하여 사용자에게 현실적인 수술 경험을 제공한다.

Virtual Reality for Dental Implant Surgical Education (가상현실을 이용한 치과 임플란트 수술 교육)

  • Moon, Seong-Yong;Choi, Bong-Du;Moon, Young-Lae
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.12
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    • pp.169-174
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    • 2016
  • In this study, we evaluated the virtual reality model for dental implant surgery and discussed about the method to make the surgical environment for virtual reality with practical patient data. The anatomical model for patient face was fabricated by facial and oral scan data based on CT data. The simulation scenario was composed step by step fashion with Unity3D. From incision and sinus bone graft procedure which is needed to this patient model to implant installation and bone graft was included in this scenario. We used the HMD and leap motion for immersiveness and feeling of real operation. Twenty training doctor was attended this simulation study, and surveyed their satisfactory results by questionnaire. Implant surgery education program was showed the possibilities of educational tool for dental students and training doctors. Virtual reality for surgical education with HMD and leap motion had advantages, in terms of cheap prcie, easy access.

Prediction of frontal soft tissue changes after mandibular surgery in facial asymmetry individuals (안면비대칭자의 하악골 악교정수술 후 정면 연조직 변화 예측을 위한 연구)

  • Hwang, Hyeon-Shik;Lee, Jessica J.;Hwang, Chung-Hyon;Choi, Hak-Hee;Lim, Hoi-Jeong
    • The korean journal of orthodontics
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    • v.38 no.4
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    • pp.252-264
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    • 2008
  • Objective: To aid the development of a frontal image simulating program, we evaluated the soft tissue frontal changes in relationship to movement of hard tissue with orthognathic surgery of facial asymmetry patients. Methods: Preoperative and postoperative frontal cephalograms and frontal view photographs of 45 mandibular surgery patients with facial asymmetry were obtained in a standardized manner. Vertical and horizontal changes of hard tissue and soft tissue were measured from cephalograms and photographs, respectively. Soft tissue change in result to hard tissue change was then analyzed. Results: Both vertical and horizontal correlation analysis showed a weak relationship between the changes. Hard tissue points that were picked for 1 : 1 mean ratio with soft tissue points did not show any significant relevance. For each soft tissue change, regressive equation was formulated by stepwise multiple regression analysis, and the equation for soft tissue Menton was most reliable in predicting changes. Both vertical and horizontal hard tissue changes were used together in prediction of vertical or horizontal soft tissue change. Conclusions: The results suggest that computerized image simulation using regression analysis may be of help for prediction of soft tissue change, while 1:1 mean ratio method is not useful.

Adaptive Optimal Thresholding for the Segmentation of Individual Tooth from CT Images (CT영상에서 개별 치아 분리를 위한 적응 최적 임계화 방안)

  • Heo, Hoon;Chae, Ok-Sam
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.3
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    • pp.163-174
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    • 2004
  • The 3D tooth model in which each tooth can be manipulated individualy is essential component for the orthodontic simulation and implant simulation in dental field. For the reconstruction of such a tooth model, we need an image segmentation algorithm capable of separating individual tooth from neighboring teeth and alveolar bone. In this paper we propose a CT image normalization method and adaptive optimal thresholding algorithm for the segmenation of tooth region in CT image slices. The proposed segmentation algorithm is based on the fact that the shape and intensity of tooth change gradually among CT image slices. It generates temporary boundary of a tooth by using the threshold value estimated in the previous imge slice, and compute histograms for the inner region and the outer region seperated by the temporary boundary. The optimal threshold value generating the finnal tooth region is computed based on these two histogram.