• Imaging Science in Dentistry
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• 제52권4호
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• pp.383-391
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• 2022

Purpose: Periodontitis, the most prevalent chronic inflammatory condition affecting teeth-supporting tissues, is diagnosed and classified through clinical and radiographic examinations. The staging of periodontitis using panoramic radiographs provides information for designing computer-assisted diagnostic systems. Performing image segmentation in periodontitis is required for image processing in diagnostic applications. This study evaluated image segmentation for periodontitis staging based on deep learning approaches. Materials and Methods: Multi-Label U-Net and Mask R-CNN models were compared for image segmentation to detect periodontitis using 100 digital panoramic radiographs. Normal conditions and 4 stages of periodontitis were annotated on these panoramic radiographs. A total of 1100 original and augmented images were then randomly divided into a training (75%) dataset to produce segmentation models and a testing (25%) dataset to determine the evaluation metrics of the segmentation models. Results: The performance of the segmentation models against the radiographic diagnosis of periodontitis conducted by a dentist was described by evaluation metrics(i.e., dice coefficient and intersection-over-union [IoU] score). MultiLabel U-Net achieved a dice coefficient of 0.96 and an IoU score of 0.97. Meanwhile, Mask R-CNN attained a dice coefficient of 0.87 and an IoU score of 0.74. U-Net showed the characteristic of semantic segmentation, and Mask R-CNN performed instance segmentation with accuracy, precision, recall, and F1-score values of 95%, 85.6%, 88.2%, and 86.6%, respectively. Conclusion: Multi-Label U-Net produced superior image segmentation to that of Mask R-CNN. The authors recommend integrating it with other techniques to develop hybrid models for automatic periodontitis detection.

• 치과방사선
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• 제16권1호
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• pp.59-68
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• 1986

The purpose of this investigation was to locate the central plane of the image layer on the panoramic machine relative to a specific point on the machine. In the study of the central plane of the image layer of panoramic radiograph, using the Morrita Company PANEX-EC a series of 33 exposures were taken with the 4-5 experimental pins placed in the holes of the plastic model plate, then evaluated by human eye. The author analyzed the central plane of the image layer by Mitutoyo-A-221 and calculated horizontal and vertical magnification ratio in the central plane of the image layer determined experimentally. The results were as follows: 1. The location of the central plane of the image layer determined experimentally was to lateral, compared with manufactural central plane. 2. Horizontal magnification ratio in the central plane of the image layer determined experimentally was 9.25%. 3. Vertical magnification ratio in the central plane of the image layer determined experimentally was 9.17%.

• Imaging Science in Dentistry
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• 제33권3호
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• pp.131-135
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• 2003

Purpose: To determine whether the mandibular radiomorphometric indices in panoramic radiography are correlated with the bone mineral density of Cu-equivalent images in intraoral film. Materials and Methods: The bone mineral density (BMD) of the mandibular premolar area was measured in the Cu-equivalent image of intraoral film. The Panoramic Mandibular Index (PMI) and Mandibular Cortical Width (MCW) were measured in panoramic radiographs of six dry mandibles, and the Pearson correlation between PMI, MCW, and BMD were tested. Results: There were no significant correlations between PMI and BMD (r = 0.280), nor between MCW and BMD (r =0.237). Conclusion: The results show that PMI and MCW were poor diagnostic indicators of mandibular BMD in the six dry mandibles used in this study. The correlationship between the mandibular radiomorphometric indices (PMI and MCW) and mandibular BMD needs to be researched further using large in vivo patient samples.

• Imaging Science in Dentistry
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• 제33권4호
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• pp.199-205
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• 2003

Purpose: To compare the visibility of the mandibular canal at the different radiographic methods such as conventional panoramic radiographs, Vimplant multi planar reformatting (MPR)-CT panoramic images, Vimplant MPR-CT paraxial images and film-based DentaScan MPR-CT images. Materials and Methods: Data of 11 mandibular dental implant patients, who had been planned treatment utilizing both panoramic and MPR-CT examination with DentaScan software (GE Medical systems, Milwaukee, USA), were used in this study. The archived axial CT data stored on CD-R discs were transferred to a personal computer with 17' LCD monitor. Paraxial and panoramic images were reconstructed using Vimplant software (CyberMed Inc., Seoul, Korea). Conventional panoramic radiographs, monitor-based Vimplant MPR-CT panoramic images, monitor-based Vimplant MPR-CT paraxial images, and film-based DentaScan MPR-CT images were evaluated for visibility of the mandibular canal at the mental foramen, 1 cm, 2 cm, and 3 cm posterior to mental foramen using the 4-point grading score. Results: Vimplant MPR-CT panoramic, paraxial, and DentaScan MPR-CT images revealed significantly clearer images than conventional panoramic radiographs. Particularly at the region 1 em posterior to mental foramen, conventional panoramic radiographs showed a markedly lower percentage of 'excellent' mandibular canal images than images produced by other modalites. Vimplant MPR-CT and DentaScan MPR-CT images did not show significant difference in visibility of the mandibular canal. Conclusion: The study results show that Vimplant and DentaScan MPR-CT imaging systems offer significantly better images of the mandibular canal than conventional panoramic radiograph.

• Imaging Science in Dentistry
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• 제48권4호
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• pp.255-259
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• 2018

Purpose: This study proposes a new ball-type phantom for evaluation of the image layer of panoramic radiography. Materials and Methods: The arch shape of an acrylic resin phantom was derived from average data on the lower dental arch in Korean adult males. Metal balls with a 2-mm diameter were placed along the center line of the phantom at a 4-mm mesiodistal interval. Additional metal balls were placed along the 22 arch-shaped lines that ran parallel to the center line at 2-mm buccolingual intervals. The height of each ball in the horizontal plane was spaced by 2.5 mm, and consequently, the balls appeared oblique when viewed from the side. The resulting phantom was named the Panorama phantom. The distortion rate of the balls in the acquired image was measured by automatically calculating the difference between the vertical and horizontal length using $MATLAB^{(R)}$. Image layer boundaries were obtained by applying various distortion rate thresholds. Results: Most areas containing metal balls (91.5%) were included in the image layer with a 50% distortion rate threshold. When a 5% distortion rate threshold was applied, the image layer was formed with a small buccolingual width along the arch-shaped center line. However, it was medially located in the temporomandibular joint region. Conclusion: The Panorama phantom could be used to evaluate the image layer of panoramic radiography, including all mesiodistal areas with large buccolingual width.

• 정보과학회 논문지
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• 제42권8호
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• pp.990-997
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• 2015

파노라마 영상 생성관련 분야는 다양하게 연구되어 왔다. 기존의 방식들은 특수목적 하드웨어를 이용하거나, 후처리 소프트웨어를 이용하여 파노라마 영상을 생성한다. 하지만 이 방식들은 비용적인 문제와 조작의 번거로움의 문제가 있다. 또한 영상 내 특징 점의 존재 유무에 따라 정합이 가능한 범위도 제한된다. 본 논문에서는 저비용의 조작이 용이한 실시간 파노라마 동영상 생성 방법을 제안한다. 제안한 시스템에서는 저비용의 범용 하드웨어를 이용하여 영상을 촬영하고, 동영상 압축 스트리밍 방법을 통해 서버로 영상을 전송한 뒤 파노라마 영상을 정합한다. 구현된 시스템의 성능 분석을 통해 파노라마 영상의 생성 시간을 측정하였고 동영상이 생성됨을 확인하였다.

• Imaging Science in Dentistry
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• 제38권4호
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• pp.209-213
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• 2008

Purpose : To evaluate the relative diagnostic accuracy of panoramic radiography and Water's projection in maxillary sinus inflammatory diseases by comparing the radiodensities of the images with those of CT. Materials and Methods : Panoramic radiographs, Waters' projection, and CT images from 55 subjects (11O sinuses) were included in this retrospective study. The radiodensity of each maxillary sinus in panoramic radiography was recorded separately as upper and lower divided horizontally by hard palate. In Waters' projection, the overall sinus radiodensity was recorded. The CT images were considered as gold standard. Results : In panoramic radiography, 83 sinuses had same upper and lower radiodensity and 72 of these were consistent with those of CT, 26 sinuses had different upper and lower radiodensity and 15 of these, upper radiodensity was consistent with CT, the remaining 11, lower radiodensity was consistent with CT. One sinus had upper radiolucency with lower radiopacity and both were consistent with those of CT. Altogether 73 (66.4%) among 110 sinuses in panoramic radiography showed full agreement with CT, 26 (23.6%) showed partial agreement with CT. 9 sinuses had no lower image under the hard palate in panoramic radiography due to the smaller size of sinus. In Waters' projection, the radiodensity of 105 sinuses (95.5%) were consistent with that of CT. Conclusion : The panoramic radiography showed 90.0% of the sinus conditions fully or partially which may appear less accurate than that of Water's view (95.5%) but with more detailed information of the inferior part of sinuses. (Korean J Oral Maxillofac Radiol 2008; 38 : 209-13)

• 치과방사선
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• 제28권1호
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• pp.47-58
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• 1998

The purpose of this study was to investigate an influence of the change of central panoramic curves on the image reconstruction in the dental implant CT. The author designed three experimental groups according to the location of central panoramic curve. In group A, central panoramic curve was determined as the curve connecting the center of roots from the first premolar to the first molar. In group B, central panoramic curve was determined as the line connecting the lingual cortical plate at the level of the mesial aspect of the first premolar with the buccal cortical plate at the level of the mesial aspect of the first molar. In Group C, central panoramic curve was determined as the line connecting the buccal cortical plate at the level of the mesial aspect of the first premolar with the lingual cortical plate at the level of the mesial aspect of the first molar. Twenty four reformatted CT images was acquired from four mandibles embedded in the resin block and twenty four contact radiographs of dog specimens were acquired. Each Image was processed under Adobe Photoshop program analysed by MSPA(mandible/maxilla shape pattern analysis) variables such as MXVD, MXHD, UHD, MHD, and LHD. The obtained results were as follows ; 1. The mean of MXVD variable was 19.9, 20.2, and 20.0 in group A, B, and C, respectively, which were smaller than actual value 20.5. But, there was no significant difference among 3 groups (p>0.05). 2. The mean of MXHD, UHD, MHD, and LHD variables in group A, B, and C was 11.9, 12.2, and 12.3; 9.3, 9.5, and 9.6; 10.0, 10.3, and 10.3; 9.2, 9.3, and 9.4 respectively which were equal to or greater than the actual value 11.8, 9.3, 10.0, and 9.2. But, there was no significant difference among 3 groups (p>0.05). 3. The number of noneffective observations with difference over or under 1 mm with comparison to the actual value was 24(20％), 58(48.3％), and 52(43.3％), respectively, in group A, B, and C. 4. In group A, the number of observations over 1 mm and under 1 mm was 9 and 15, respectively, but in group Band C, the number of observations over 1 mm was more than under 1 mm.

• 한국콘텐츠학회논문지
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• 제17권3호
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• pp.42-52
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• 2017

파노라마 영상은 여러 시점에서 촬영한 영상들을 대응점들의 정합을 통해 합성하여 얻은 단일 영상을 말한다. 기존의 파노라마 영상 생성 방법들은 대응점들을 구할 때 각 영상에서 지역적 불변 특징점을 추출하여 서술자를 생성하고 매칭 알고리즘을 사용한다. 동영상의 경우, 프레임 수가 많아 기존의 방법으로 파노라마 영상을 생성하는 것이 상당한 시간을 소비하고 불필요한 계산을 한다. 본 논문에서는 동영상을 입력 받아 구면 파노라마 영상을 효과적으로 생성하는 기법을 제안한다. 동영상의 프레임 간의 변화가 지역적으로 크지 않으며 연속적이라는 전제 조건으로 반복성 및 계산속도가 높은 FAST 알고리즘을 사용하여 특징점들을 추출하고, Lucas-Kanade 알고리즘을 통해 각 특징점들을 추적하여 그 주변에서 대응점을 찾는다. 모든 영상에 대해서 호모그래피를 계산하면 가운데 영상을 중심으로 호모그래피를 변경하고 영상을 와핑하여 평면 파노라마 영상을 얻는다. 마지막으로 구면 좌표계 역변환식을 통해 구면 파노라마 영상을 변환하여 얻는다. 실험을 통하여 제안하는 방법이 기존의 방법들보다 파노라마 영상을 빠르고 효과적으로 생성하는 것을 확인하였다.

• 한국정보과학회논문지:소프트웨어및응용
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• 제36권8호
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• pp.653-663
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• 2009

본 논문에서는 세 대의 카메라를 이용하여 사각지대를 효과적으로 제거하기 위한 파노라믹 비전 시스템(panoramic vision system)을 제안한다. 차량의 후방에는 광각 카메라를 사용하여 후방 거울(rear-view mirror)로부터 보이지 않는 사각지대를 제거하며, 나머지 두 대의 카메라는 측면 거울(side-view mirror)의 아래에 설치하여 측면 거울로 보지 못하는 사각지대를 제거한다. 좀 더 효과적인 사각지대 제거를 위해서 세 대의 카메라에서 얻어지는 영상을 정합하는 방법을 제공한다. 먼저, 후방 카메라에서 얻은 영상을 보정하고, 보정된 영상에서 focus-of-contraction(FOC)을 구한다. 그 뒤에 측방 카메라의 영상과 후방 카메라의 영상 사이의 호모그래피(homography)를 구한다. 그 다음으로 영상을 차도와 배경 영역으로 분리하고, 호모그래피를 사용하여 분리한 차도를 정합하고, 가상의 평면에 배경을 투영하여 최종정합을 완성한다. 마지막으로 정합된 영상을 보다 효과적으로 보여주기 위한 실린더 파노라마 영상, 가상의 Top-view 시스템, 그리고 차량의 다양한 정보와 함께 사각지대 영상을 보여주는 통합 정보 가시화 영상을 생성하여 제공한다.