• Title/Summary/Keyword: Individual Tooth

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A STUDY ON ACCURACY AND DIMENSIONAL STABILITY ACCORDING TO IMPRESS10N METHODS (인상채득방법과 방향에 따른 인상체의 정밀성과 체적 안정성에 관한 연구)

  • Lee, Jae-Young;Lim, Ju-Hwan;Cho, In-Ho
    • The Journal of Korean Academy of Prosthodontics
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    • v.37 no.5
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    • pp.567-580
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    • 1999
  • Accurate reproduction of intraoral tissue is essential in the fabrication of fixed prosthesis. This selection of impression material and method is very important. In this study, vinyl polysiloxane type impression material $Panasil^{(R)}$ was used. Three impression methods ; one-step technique, individual tray technique, and individual tooth tray technique using the vinyl polysiloxane type bite registration material $Futar^{(R)}$ Occlusion, were used to take horizontal and vertical impression. Improved stone models were fabricated. The amount of occlusal surface discrepaneies, interabutment distance discrepancies, amount of marginal defect were evaluated with the $X-PLAN360d^{(R)}$ and photoscanning. The results were as follows. 1. There was no significant difference in occlusal surface according to the directions and techniques of impression taking. 2. There was no significant difference in interabutment distance discrepancies according to the directions and techniques of impression taking 3. There was no significant difference in marginal discrepancies according to the direction of impression taking but there was significant difference between one-step technique and individual tray technique, individual tooth tray technique (P<0.05). Taken together, these results suggest that individual tray technique and individual tooth tray technique are more accurate for impression taking than one-step technique.

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A STUDY ON THE ACCURACY OF THE IMPRESSION BODY ACCORDING TO MATERIALS AND FORMS OF THE INDIVIDUAL TOOTH TRAY (개별 치아 트레이의 재료와 형태에 따른 인상체의 정밀성에 관한 연구)

  • Ryu, Duck-Woo;Lim, Ju-Hwan;Cho, In-Ho
    • The Journal of Korean Academy of Prosthodontics
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    • v.38 no.2
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    • pp.242-254
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    • 2000
  • Accurate impression is very important to achieve desirable prosthesis and there are many factors in taking a good impression. For example, types of impression material, types of impression tray, impression taking methods and so on. Recently individual tooth tray technique is accepted as obtaining good impression that can be applied to multiple abutment impression, heavy salivated patient, to minimize the effect of natural teeth s undercuts and to reduce pain during cord packing procedures. The purpose of this study was to compare the accuracy according to materials and forms of the individual tooth tray which is clinically applied nowadays. Used materials in experiment were divided into 3 types (acrylic resin. $Futar^{(R)}$ occlusion. $Blu-mousse^{(R)}$) and forms were divided into 2 types (forming occlusal vent hole or not and forming marginal vent space or not). Stone master model from impression body and metal master model were measured by $X-PLAN360d^{(R)}$ to compare occlusal surface discrepancy and marginal discrepancy. The results were as follows: 1. In comparison of occlusal surface discrepancy and marginal discrepancy according to materials, groups with three materials showed no statistical difference 2. In comparison of occlusal surface discrepancy and marginal discrepancy according to occlusal vent hole, groups with occlusal vent hole showed significantly less marginal discrepancy than groups with no occlusal vent hole(p<0.05). 3. In comparison of occlusal surface discrepancy and marginal discrepancy according to 0.5mm-marginal-vent-space, groups with no 0.5mm-marginal-vent-space showed significantly less marginal discrepancy than groups with 0.5mm-marginal-vent-space (p<0.05). In summary these results suggest that individual tooth tray made of 3 types of materials with occlusal vent hole and individual tooth tray made of acrylic resin with no marginal vent space showed good accuracy of impression. In addition, individual tooth tray which is made of bite registration materials may be more useful because of advantage in facility and timesaving aspect of fabrication.

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Tooth Region Segmentation by Oral Cavity Model and Watershed Algorithm (구강구조모델과 워터쉐드를 이용한 치아영역 분할)

  • Na, S.D.;Lee, G.H.;Lee, J.H.;Kim, M.N.
    • Journal of Korea Multimedia Society
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    • v.16 no.10
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    • pp.1135-1146
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    • 2013
  • In this paper, we proposed a new algorithm for individual tooth region segmentation on tooth color images. The proposed algorithm used oral cavity model based on structural feature of tooth and new boundary of watershed algorithm. First, the gray scale image is obtained with emphasized tooth regions from the color images and unnecessary regions are removed on tooth images. Next, the image enhancement of tooth images is implemented using the proposed oral cavity model, and the individual tooth regions are segmented by watershed algorithm on the enhanced images. Boundary and seeds necessary to watershed algorithm are applied boundary of binary image using minimum thresholding and region maximum value. In order to evaluate performance of proposed algorithm, we conduct experiment to compare conventional algorithm with proposed algorithm. As a result of experiment, we confirmed that the proposed algorithm is more improved detection ratio than conventional algorithm at molar regions and the tooth region detection performance is improved by preventing overlap detection on oral cavity.

A COMPARATIVE STUDY ON CROWDING ACCORDING TO THE STATUS OF THE THIRD MOLARS IN MANDIBULAR ARCH (하악 치열궁에서 제 3 대구치 맹출상태에 따른 밀집에 관한 연구)

  • Song, Joo-Hun;Ryu, Young-Kyu;Oh, Chang-Ok
    • The korean journal of orthodontics
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    • v.24 no.4 s.47
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    • pp.773-785
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    • 1994
  • It has been generally believed that the impaction or eruption of mandibular third molars has significant correlations with the growth of the mandible, size of mandibular arch and size of teeth. The purpose of this study was to examine if there is any correlation between the status of eruption of mandibular third molars and the amount of mandibular crowding. The effect of missing of third moalrs to mandibular crowding was studied as well. 140 adult students of Yonsei University were selected and divided into three groups according to the status of mandibular third molars, Group 1) congenital missing group, Group 2) eruption group, and Group 3) impaction group. The tooth size, dimensions of the mandibular dental arch, and the amount of crowding were measured and compared. Results were as follows ; 1. There was no statistically significant difference in tooth size between the missing group and the eruption group(p<0.05). Impaction group showed larger total tooth material, inci- sal tooth material, and individual tooth size except central incisors compared to missing group (p<0.05). Impaction group showed larger total tooth material, incisal tooth material compared to eruption group as well(p<0.05). When individual tooth size was compared, impaction group had larger central incisors, canines, and second premolars than eruption group(p<0.05). 2. Missing group showed larger intermolar width than impaction group and it was stati- stically significant(p<0.05). 3. When compared the amount of total crowding, impaction group showed the largest am- ount of crowding, then eruption group, and missing group showed the least amount of crowding respectively(p<0.05). There was no statistically significant difference between missing stoup and eruption group in the amount of incisal crowding(p<0.05). Impaction group show- ed the largest amount of incisal crowding among all three groups(p<0.05).

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Improving Accuracy of Instance Segmentation of Teeth

  • Jongjin Park
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.280-286
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    • 2024
  • In this paper, layered UNet with warmup and dropout tricks was used to segment teeth instantly by using data labeled for each individual tooth and increase performance of the result. The layered UNet proposed before showed very good performance in tooth segmentation without distinguishing tooth number. To do instance segmentation of teeth, we labeled teeth CBCT data according to tooth numbering system which is devised by FDI World Dental Federation notation. Colors for labeled teeth are like AI-Hub teeth dataset. Simulation results show that layered UNet does also segment very well for each tooth distinguishing tooth number by color. Layered UNet model using warmup trick was the best with IoU values of 0.80 and 0.77 for training, validation data. To increase the performance of instance segmentation of teeth, we need more labeled data later. The results of this paper can be used to develop medical software that requires tooth recognition, such as orthodontic treatment, wisdom tooth extraction, and implant surgery.

Effect of a Tooth-brushing Education Program on Oral Health of Preschool Children (잇솔질 교육 프로그램이 학령전기 아동의 구강건강에 미치는 효과)

  • Kang, Bok-Hee;Park, Sun-Nam;Sohng, Kyeong-Yae;Moon, Jung-Soon
    • Journal of Korean Academy of Nursing
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    • v.38 no.6
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    • pp.914-922
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    • 2008
  • Purpose: To examine the effect of tooth-brushing education on the oral health of preschoolers. Methods: A quasi-experimental design with a non-equivalent control group was used. Two kindergartens were selected and 39 preschoolers from one kindergarten were assigned to the experimental group with tooth-brushing education and 39 from the other kindergarten to the control group. The tooth-brushing education program included 1 session on oral health education, individual tooth-brushing instruction for 1 week and supervised tooth-brushing after lunch for 4 weeks. Oral health behavior including use of tooth paste, tooth-brushing time and method of tooth-brushing, plague, streptococcus mutans, lactobacillus and dental caries were measured before and after the education. Fisher's exact test, t-test and paired t-test with the Window SAS 9.1 program were used to analyze the data. Results: A significant increase in the use of tooth paste, tooth-brushing time and the practice of correct tooth-brushing and a decrease in plague and development of dental caries were observed in the experimental group. Conclusion: This tooth-brushing education was partially effective in improving oral health of preschoolers.

The effect of plaque control (tooth brushing instruction) for oral health improvement on periodontitis patients (치주질환자 구강관리능력 향상을 위한 치면세균막관리(잇솔질교육)에 관한 연구)

  • Kim, Seol-Hee
    • Journal of Korean society of Dental Hygiene
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    • v.11 no.2
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    • pp.293-301
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    • 2011
  • Objectives : The aim of the trial was to study the effect of plaque control(tooth brushing instruction) for oral health improvement on periodontitis patients. Methods : 30 patients(35~65 years) with advanced periodontal disease were subjected to a baseline examination including assessment of oral hygiene status(O'leary index), gingival condition(bleeding). the assessment were repeated after 2, 4, 6 weeks. cognitive, behavioral and clinical outcomes were assessed in the primary care setting by questionnaire and clinical oral examination. Results : The oral hygiene status expressed as the individual mean percentage of tooth surfaces with plaque 59.3% at baseline and 21.2% after 6 weeks(p<0.001). The gingival bleeding status expressed as the individual mean point of interdental papilla 3.8 at baseline and 1.9 after 6 weeks(p<0.001). Also, the patients self-assessment about correct tooth brushing behavior was 3.9(5-point likert scales), satisfaction of plan practices 4.1(5-point likert scales), efficacy of tooth brushing instruction 8.7(10-point likert scales). Patients wanted to continuous participation. Conclusions : A verification of effect after individualized oral health instruction and repeated dental plaque control represented to significance on plaque control score, oral care practice and oral health recognition. The important oral care step against periodontal disease is to establish good oral health habits. Also, oral health behavior recognition is more important for the practice of oral health. Therefore professional plaque control and tooth brushing instruction absolutely need in improving oral health.

Prerequisite Research for the Development of an End-to-End System for Automatic Tooth Segmentation: A Deep Learning-Based Reference Point Setting Algorithm (자동 치아 분할용 종단 간 시스템 개발을 위한 선결 연구: 딥러닝 기반 기준점 설정 알고리즘)

  • Kyungdeok Seo;Sena Lee;Yongkyu Jin;Sejung Yang
    • Journal of Biomedical Engineering Research
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    • v.44 no.5
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    • pp.346-353
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    • 2023
  • In this paper, we propose an innovative approach that leverages deep learning to find optimal reference points for achieving precise tooth segmentation in three-dimensional tooth point cloud data. A dataset consisting of 350 aligned maxillary and mandibular cloud data was used as input, and both end coordinates of individual teeth were used as correct answers. A two-dimensional image was created by projecting the rendered point cloud data along the Z-axis, where an image of individual teeth was created using an object detection algorithm. The proposed algorithm is designed by adding various modules to the Unet model that allow effective learning of a narrow range, and detects both end points of the tooth using the generated tooth image. In the evaluation using DSC, Euclid distance, and MAE as indicators, we achieved superior performance compared to other Unet-based models. In future research, we will develop an algorithm to find the reference point of the point cloud by back-projecting the reference point detected in the image in three dimensions, and based on this, we will develop an algorithm to divide the teeth individually in the point cloud through image processing techniques.

CLINICAL CONSIDERATION OF ANGLE'S CLASSIFICATION CLASS I MALOCCLUSION (Angle씨 분류 I급 부정교합의 임상적 고찰)

  • Kang, Hong-Koo
    • The Journal of the Korean dental association
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    • v.15 no.2
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    • pp.107-110
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    • 1977
  • Class I malocclusion is essentially a dental dysplasia. Rotations, individual tooth malpositions, missing teeth, tooth size discrepancies, etc., fall under this classification. There are two types of class I malocclusions. One is identified by and insufficient denture base to accommodate the teeth; the other has more denture base than tooth material, creating spaces in the arch. The tooth material-to denture base discrepancies may be slight, calling for only a little increase in arch length for alignment and the correction of minor rotations. Discrepancies may also be great, in which case it becomes necessary to reduce tooth material by extraction, so as to make the tooth material more in proportion to the size of the denture base. The author had attempted orthodontic treatment of a class I malocclusion case of 13-year old boy in which high canines and impacted mandibular second premolars were involved. The author obtained good results.

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Segmentation of tooth using Adaptive Optimal Thresholding and B-spline Fitting in CT image slices (적응 최적 임계화와 B-spline 적합을 사용한 CT영상열내 치아 분할)

  • Heo, Hoon;Chae, Ok-Sam
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.4
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    • pp.51-61
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    • 2004
  • In the dental field, the 3D tooth model in which each tooth can be manipulated individually is an essential component for the simulation of orthodontic surgery and treatment. To reconstruct such a tooth model from CT slices, we need to define the accurate boundary of each tooth from CT slices. However, the global threshold method, which is commonly used in most existing 3D reconstruction systems, is not effective for the tooth segmentation in the CT image. In tooth CT slices, some teeth touch with other teeth and some are located inside of alveolar bone whose intensity is similar to that of teeth. In this paper, we propose an image segmentation algorithm based on B-spline curve fitting to produce smooth tooth regions from such CT slices. The proposed algorithm prevents the malfitting problem of the B-spline algorithm by providing accurate initial tooth boundary for the fitting process. This paper proposes an optimal threshold scheme using the intensity and shape information passed by previous slice for the initial boundary generation and an efficient B-spline fitting method based on genetic algorithm. The test result shows that the proposed method detects contour of the individual tooth successfully and can produce a smooth and accurate 3D tooth model for the simulation of orthodontic surgery and treatment.