• Title/Summary/Keyword: Dental images

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Microcalcification Extraction by Wavelet Transform and Automatic Thresholding (웨이브렛 변환과 자동적인 임계치 설정에 의한 미세 석회화 검출)

  • Won, Chul-Ho;Seo, Yong-Su;Cho, Jin-Ho
    • Journal of Korea Multimedia Society
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    • v.8 no.4
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    • pp.482-491
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    • 2005
  • In this paper, we proposed the microcalcification detection algorithm which is based on wavelet transform and automatic thresholding method in the X-ray mammographic images. Digital X-ray imaging system is essential equipment in the field diagnosis and is widely used in the various fields such as chest, fracture of a bone, and dental correction. Especially, digital X-ray mammographic imaging is known as the most important method to diagnose the breast cancer, many researches to develop the imaging system are processing in country. In this paper, we proposed a microcalcifications detection algorithm necessary in the early phase of breast cancer diagnosis and showed that a algorithm could effectively detect microcalfication and could aid diagnosis-radiologist.

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Feasibility Study on Detection of Crack in Bovine Incisor Using Active Thermography (보빈 치아 균열의 적외선 열화상 검사 가능성에 관한 실험적 연구)

  • Kim, Woo-Jae;Yang, Seung-Yong;Kim, No-Hyu
    • Journal of the Korean Society for Nondestructive Testing
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    • v.31 no.5
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    • pp.508-515
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    • 2011
  • Bovine incisor was investigated using active infrared thermography(IRT) to visualize crack on bovine teeth. An artificial crack was carefully created in bovine incisor sample by compression load of universal tensile machine. While applying a sinusoidal heat wave to the cracked bovine incisor through halogen lamp, consecutive digital infrared images was captured from the sample surface at a frequency synchronized with heat excitation. Phase information of thermal image was calculated by four-point correlation method and processed to produce the phase image of bovine incisor. This phase image showed clearly the crack on the incisor, which was hardly detected in traditional passive thermography.

Periondontal Disease Detection in Dental Radiography by ROI segment (관심영역을 이용한 치과용 방사선 영상에서의 자연치아 주위 미세변화 검출에 관한 연구)

  • 안용학;이정헌;채옥삼
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.6
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    • pp.73-80
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    • 2004
  • In this paper, we propose a medical image processing method for detection of periodontal disease. The proposed method is the method of an automatic image alignment and detection of minute changes, to overcome defects in the conventional subtraction radiography by digital image processing technique, that is necessary for getting subtraction image and ROI(Region of Interest) focused on a selection method using the structured features in target images. And the method services accuracy, consistency and objective information or data to results. In result, easily and visually we can identify minute differences in the affected parts whether they have problems or not, and using application system.

Bone loss Detection in Dental Digital X-ray Image by Structure Analysis (구조적 분석을 이용한 치과용 디지털 X-ray 영상에서의 골조직 변화 검출에 관한 연구)

  • Ahn, Yong-Hak;Chae, Ok-Sam
    • The KIPS Transactions:PartB
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    • v.11B no.3
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    • pp.275-280
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    • 2004
  • In this paper, we propose automatic subtraction radiography algorithms to overcome conventional subtraction radiography's defects by applying image processing technique. In order to reach these goals, this paper suggests the image alignment method that is necessary for getting subtraction image and ROI(Region Of Interest) focused on a selection method using the structure characteristics in target images. Therefore, we use these methods because they give accurary, consistency and objective information or data to results. According to the results, easily and visually we can identify fine difference int the affected parts wether they have problems or not.

Direct digital radiography versus conventional radiography for estimation of canal length in curved canals

  • Mohtavipour, Seiedeh Tahereh;Dalili, Zahra;Azar, Nasim Gheshlaghi
    • Imaging Science in Dentistry
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    • v.41 no.1
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    • pp.7-10
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    • 2011
  • Purpose : The purpose of this study was to compare the conventional and digital radiography in the estimation of working length in mandibular molars. Materials and Methods : Sixty molar teeth were selected and divided into three groups in the basis of canal curves (0-$15^{\circ}$, 15-$30^{\circ}$, > $30^{\circ}$). After the placement of a 15 K-file, radiographs were taken with a conventional film (Fspeed) and a digital sensor. Canal lengths were measured in these images by two observers. Statistical analysis was performed with repeated measures of ANOVA and paired sample t-test with 95% confidence. Results : There was a high inter-observer agreement on the measurements of working length in conventional and digital radiographs. There was no significant difference between the mean values of measurements in conventional and digital radiography. Moreover, there was no significant difference between conventional and digital radiography with the actual values in the basis of canal curves. Conclusion : The accuracy of conventional and digital radiography in the determination of the working length was in an acceptable range.

A standardization model based on image recognition for performance evaluation of an oral scanner

  • Seo, Sang-Wan;Lee, Wan-Sun;Byun, Jae-Young;Lee, Kyu-Bok
    • The Journal of Advanced Prosthodontics
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    • v.9 no.6
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    • pp.409-415
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    • 2017
  • PURPOSE. Accurate information is essential in dentistry. The image information of missing teeth is used in optically based medical equipment in prosthodontic treatment. To evaluate oral scanners, the standardized model was examined from cases of image recognition errors of linear discriminant analysis (LDA), and a model that combines the variables with reference to ISO 12836:2015 was designed. MATERIALS AND METHODS. The basic model was fabricated by applying 4 factors to the tooth profile (chamfer, groove, curve, and square) and the bottom surface. Photo-type and video-type scanners were used to analyze 3D images after image capture. The scans were performed several times according to the prescribed sequence to distinguish the model from the one that did not form, and the results confirmed it to be the best. RESULTS. In the case of the initial basic model, a 3D shape could not be obtained by scanning even if several shots were taken. Subsequently, the recognition rate of the image was improved with every variable factor, and the difference depends on the tooth profile and the pattern of the floor surface. CONCLUSION. Based on the recognition error of the LDA, the recognition rate decreases when the model has a similar pattern. Therefore, to obtain the accurate 3D data, the difference of each class needs to be provided when developing a standardized model.

Periodontal Disease Segmentation by Geometric Analysis (기하학적 분석을 이용한 자연치아 주위염 분리에 관한 연구)

  • Han Sang-hoon;Ahn Yonghak
    • Journal of the Korea Society of Computer and Information
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    • v.9 no.4 s.32
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    • pp.133-139
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    • 2004
  • In this paper. we propose a medical image processing method for detection of periodontal disease by geometric analysis on dental digital radiography. This paper proposes the method of an automatic image alignment and detection of minute changes, to overcome defects in the conventional subtraction radiography by image processing technique, that is necessary for getting subtraction image and ROI(Region Of Interest) focused on a selection method using the geometric features in target images. Therefore, we use these methods because they give accuracy, consistency and objective information or data to results. In result, easily and visually we can identify minute differences in the affected parts whether they have problems or not, and using application system.

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A Study on 3D CT Image Segmentation and Registration of Mandibular First Premolar (하학 제 1 소구치의 3 차원 CT 영상 분할 및 정합 연구)

  • Jin K.C.;Chun K.J.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.175-176
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    • 2006
  • The aim of the 3D medical imaging is to facilitate the creation of clinically usable image-based algorithm. Clinically usable imaging algorithm for image analysis requires a high degree of interaction to verify and correct results from registration algorithms, such as the Insight Toolkit (ITK) and the Visualization Toolkit (VTK) which are the class libraries. ITK provides segmentation algorithms and VTK has powerful 3D visualization. However, to apply those libraries to the medical images such as Computerized Tomography (CT), the algorithm based on the interactive construction and modification of data objects are necessary. In this paper we showed the 3D registration about mandibular premolar of human teeth acquired by micro-CT scanner. Also, we used the ITK to find the contour of pulp layer of premolar, furthermore, the 3D imaging was visualized with VTK designed to create one kind of view on the data of 3D visualization. Finally, we evaluated that the volume model of pulp layer would be useful for the tooth morphology in dental medicine.

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Case Reports on the Improvement in the Balanced Position of the 2nd Cervical Vertebra and the Cervical Alignment after Functional Cerebrospinal Therapy (FCST) of TMJ Balancing Medicine (TBM) (개구촬영 방사선 영상을 통한 FCST의 치료 전후 축추 및 경추 위치변화 증례연구)

  • Lee, Young Jun;Yoo, Choon Shik;Lee, Sang Bae;Yin, Chang Shik
    • Journal of TMJ Balancing Medicine
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    • v.5 no.1
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    • pp.20-26
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    • 2015
  • Four cases of functional cerebrospinal therapy (FCST) were reviewed to see whether any improvement is observed in the X-ray images of open-mouth view and cephalocervical views. Intraoral appliances of TMJ balancing appliance (TBA) and cervical balancing appliance (CBA) and active movement of within range-of-movement of the jaw and the neck were applied to each patient. Improved balance of $2^{nd}$ cervical vertebra position and cervical alignment were observed in all the four cases.

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Automatic Individual Tooth Region Separation using Accurate Tooth Curve Detection for Orthodontic Treatment Planning

  • Lee, Chan-woo;Chae, Ok-sam
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.4
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    • pp.57-64
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    • 2018
  • In this paper, we propose the automatic detection method for individual region separation using panorama image. Finding areas that contain individual teeth is one of the most important tasks in automating 3D models through individual tooth separation. In the conventional method, the maxillary and mandibular teeth regions are separated using a straight line or a specific CT slide, and the tooth regions are separated using a straight line in the vertical direction. In the conventional method, since the teeth are arranged in a curved shape, there is a problem that each tooth region is incorrectly detected in order to generate an accurate tooth region. This is a major obstacle to automating the creation of individual tooth models. In this study, we propose a method to find the correct tooth curve by using the jawbone curve which is very similar to the tooth curve in order to overcome the problem of finding the area containing the existing tooth. We have proposed a new method to accurately set individual tooth regions using the feature that individual teeth are arranged in a direction similar to the normal direction of the tooth alignment curve. In the proposed method, the maxillary and mandibular teeth can be more precisely separated than the conventional method, and the area including the individual teeth can be accurately set. Experiments using real dental CT images demonstrate the superiority of the proposed method.