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      • KCI등재

        Computerized analysis of occlusal contacts in bruxism patients treated with occlusal splint therapy

        Hasan Önder Gümüş,Halil İbrahim Kılınç,Süleyman Hakan Tuna,Nihal Özcan 대한치과보철학회 2013 The Journal of Advanced Prosthodontics Vol.5 No.3

        PURPOSE. Occlusal splints are commonly used to prevent tooth wear caused by bruxism. However, the effects of splints on occlusion are still unclear. Although it is rarely alluded in literature, splints can provoke severe occlusal alterations and other complications. This study was aimed to identify differences in the responses of individuals with bruxism and healthy individuals to a full-arch maxillary stabilization splint in terms of occlusal changes. MATERIALS AND METHODS. Occlusal contacts in 20 (5 male, 15 female) bruxism patients and 20 (5 male, 15 female) controls with normal occlusion were evaluated before and after occlusal splint therapy. T-Scan III, a computerized occlusal analysis system, was used to simultaneously measure occlusion and disclusion times as well as left-right and anterior-posterior contact distributions before splint therapy and 3 months after therapy. Wilcoxon and Mann-Whitney U tests were used for statistical analyses (α=.05). RESULTS. No differences were found in the posterior contact of bruxism patients before and after stabilization splint treatment. However, differences in posterior contact were observed between bruxists and normal individuals prior to treatment, and this difference disappeared following treatment. CONCLUSION. The results of this study showed the use of a stabilization splint may not have an effect on occlusion. However, the area of posterior occlusal contact among bruxists was found to be greater than that of normal individuals. According to this study, the clinical use of splints may be harmless.

      • SCIESCOPUSKCI등재

        Computerized analysis of occlusal contacts in bruxism patients treated with occlusal splint therapy

        Suleyman Hakan Tuna,Halil İbrahim Kılınc,Nihal Ozcan,Hasan Onder Gumus 대한치과보철학회 2013 The Journal of Advanced Prosthodontics Vol.5 No.3

        PURPOSE Occlusal splints are commonly used to prevent tooth wear caused by bruxism. However, the effects of splints on occlusion are still unclear. Although it is rarely alluded in literature, splints can provoke severe occlusal alterations and other complications. This study was aimed to identify differences in the responses of individuals with bruxism and healthy individuals to a full-arch maxillary stabilization splint in terms of occlusal changes. MATERIALS AND METHODS Occlusal contacts in 20 (5 male, 15 female) bruxism patients and 20 (5 male, 15 female) controls with normal occlusion were evaluated before and after occlusal splint therapy. T-Scan III, a computerized occlusal analysis system, was used to simultaneously measure occlusion and disclusion times as well as left-right and anterior-posterior contact distributions before splint therapy and 3 months after therapy. Wilcoxon and Mann-Whitney U tests were used for statistical analyses (α=.05). RESULTS No differences were found in the posterior contact of bruxism patients before and after stabilization splint treatment. However, differences in posterior contact were observed between bruxists and normal individuals prior to treatment, and this difference disappeared following treatment. CONCLUSION The results of this study showed the use of a stabilization splint may not have an effect on occlusion. However, the area of posterior occlusal contact among bruxists was found to be greater than that of normal individuals. According to this study, the clinical use of splints may be harmless.

      • SCIESCOPUSKCI등재

        Computerized analysis of occlusal contacts in bruxism patients treated with occlusal splint therapy

        Gumus, Hasan Onder,Kilinc, Halil Ibrahim,Tuna, Suleyman Hakan,Ozcan, Nihal The Korean Academy of Prosthodonitics 2013 The Journal of Advanced Prosthodontics Vol.5 No.3

        PURPOSE. Occlusal splints are commonly used to prevent tooth wear caused by bruxism. However, the effects of splints on occlusion are still unclear. Although it is rarely alluded in literature, splints can provoke severe occlusal alterations and other complications. This study was aimed to identify differences in the responses of individuals with bruxism and healthy individuals to a full-arch maxillary stabilization splint in terms of occlusal changes. MATERIALS AND METHODS. Occlusal contacts in 20 (5 male, 15 female) bruxism patients and 20 (5 male, 15 female) controls with normal occlusion were evaluated before and after occlusal splint therapy. T-Scan III, a computerized occlusal analysis system, was used to simultaneously measure occlusion and disclusion times as well as left-right and anterior-posterior contact distributions before splint therapy and 3 months after therapy. Wilcoxon and Mann-Whitney U tests were used for statistical analyses (${\alpha}$=.05). RESULTS. No differences were found in the posterior contact of bruxism patients before and after stabilization splint treatment. However, differences in posterior contact were observed between bruxists and normal individuals prior to treatment, and this difference disappeared following treatment. CONCLUSION. The results of this study showed the use of a stabilization splint may not have an effect on occlusion. However, the area of posterior occlusal contact among bruxists was found to be greater than that of normal individuals. According to this study, the clinical use of splints may be harmless.

      • KCI등재

        영상품질별 학습기반 알고리즘 폐색영역 객체 검출 능력 분석

        이정민,함건우,배경호,박홍기 한국지리정보학회 2019 한국지리정보학회지 Vol.22 No.3

        The importance of spatial information is rapidly rising. In particular, 3D spatial information construction and modeling for Real World Objects, such as smart cities and digital twins, has become an important core technology. The constructed 3D spatial information is used in various fields such as land management, landscape analysis, environment and welfare service. Three-dimensional modeling with image has the hig visibility and reality of objects by generating texturing. However, some texturing might have occlusion area inevitably generated due to physical deposits such as roadside trees, adjacent objects, vehicles, banners, etc. at the time of acquiring image Such occlusion area is a major cause of the deterioration of reality and accuracy of the constructed 3D modeling. Various studies have been conducted to solve the occlusion area. Recently the researches of deep learning algorithm have been conducted for detecting and resolving the occlusion area. For deep learning algorithm, sufficient training data is required, and the collected training data quality directly affects the performance and the result of the deep learning. Therefore, this study analyzed the ability of detecting the occlusion area of ​​the image using various image quality to verify the performance and the result of deep learning according to the quality of the learning data. An image containing an object that causes occlusion is generated for each artificial and quantified image quality and applied to the implemented deep learning algorithm. The study found that the image quality for adjusting brightness was lower at 0.56 detection ratio for brighter images and that the image quality for pixel size and artificial noise control decreased rapidly from images adjusted from the main image to the middle level. In the F-measure performance evaluation method, the change in noise-controlled image resolution was the highest at 0.53 points. The ability to detect occlusion zones by image quality will be used as a valuable criterion for actual application of deep learning in the future. In the acquiring image, it is expected to contribute a lot to the practical application of deep learning by providing a certain level of image acquisition. 정보화 사회로 진입하면서 공간정보의 중요성은 급격하게 부각되고 있다. 특히 스마트시티, 디지털트윈과 같은 Real World Object의 3차원 공간정보 구축 및 모델링은 중요한 핵심기술로 자리매김하고 있다. 구축된 3차원 공간정보는 국토관리, 경관분석, 환경 및 복지 서비스 등 다양한 분야에서 활용된다. 영상기반의 3차원 모델링은 객체 벽면에 대한 텍스처링을 생성하여 객체의 가시성과 현실성을 높이고 있다. 하지만 이러한 텍스처링은 영상 취득 당시의 가로수, 인접 객체, 차량, 현수막 등의 물리적 적치물에 의해 필연적으로 폐색영역이 발생한다. 이러한 폐색영역은 구축된 3차원 모델링의 현실성과 정확성 저하의 주요원인이다. 폐색영역 해결을 위한 다양한 연구가 수행되고 있으며, 딥러닝을 이용한 폐색영역 검출 및 해결방안에 대한 연구가 수행되고 있다. 딥러닝 알고리즘 적용한 폐색영역 검출 및 해결을 위해서는 충분한 학습 데이터가 필요하며, 수집된 학습 데이터 품질은 딥러닝의 성능 및 결과에 직접적인 영향을 미친다. 따라서 본 연구에서는 이러한 학습 데이터의 품질에 따라 딥러닝의 성능 및 결과를 확인하기 위하여 다양한 영상품질을 이용하여 영상의 폐색영역 검출 능력을 분석하였다. 폐색을 유발하는 객체가 포함된 영상을 인위적이고 정량화된 영상품질별로 생성하여 구현된 딥러닝 알고리즘에 적용하였다. 연구결과, 밝기값 조절 영상품질은 밝은 영상일수록 0.56 검출비율로 낮게 나타났고 픽셀크기와 인위적 노이즈 조절 영상품질은 원본영상에서 중간단계의 비율로 조절된 영상부터 결과 검출비율이 급격히 낮아지는 것을 확인할 수 있었다. F-measure 성능평가 방법에서 노이즈 조절한 영상품질 변화가 0.53으로 가장 높게 나타났다. 연구결과로 획득된 영상품질별에 따른 폐색영역 검출 능력은 향후 딥러닝을 실제 적용을 위한 귀중한 기준으로 활용될 것이다. 영상 취득 단계에서 일정 수준의 영상 취득과 노이즈, 밝기값, 픽셀크기 등에 대한 기준을 마련함으로써 딥러닝을 실질적인 적용에 많은 기여가 예상된다.

      • KCI등재

        디지털트윈 구축을 위한 3차원 공간정보 폐색영역 검출 및 복원 기술개발

        배경호(Kyoung-Ho Bae) 한국산학기술학회 2022 한국산학기술학회논문지 Vol.23 No.10

        디지털트윈의 중요한 요소는 실제 객체에 대한 폐색영역이 없는 실감형 공간정보를 구축하고 제공하여야 한다. 하지만 3차원 공간정보 모델링에서는 촬영 각도와 촬영 시기로 인해 필연적으로 폐색영역이 발생한다. 이에 최신 기술인 인공지능 기술을 이용한 특정객체의 검출과 이를 제거하고 복원할 수 있는 기술을 구현하고자 한다. 연구에서는 인공지능 모델 중에서 ResNet 알고리즘을 사용하 폐색 유발 객체를 자동으로 검출하고, 텍스처링 영상에서 검출된 폐색영역을 삭제하여 특정 알고리즘을 적용하여 해당 건물의 텍스처링 영상에서 폐색영역을 복원하는 복원 기술을 개발하였다. 실험데이터는 건물 모델링에서 가장 많은 폐색을 유발하는 가로수를 대상으로 최신모델인 ResNet 학습모델을 사용하여 폐색영역을 유발하는 가로수 객체 데이터셋을 만들고 자동으로 검출하였으며 그 결과를 분석하였다. 연구의 결과로는 ResNet 알고리즘을 이용하여 비정형 데이터인 가로수를 검출할 수 있으며, DeepFillv2 알고리즘을 이용하여 가로수를 제거하고 인접 픽셀을 이용하여 상가와 아파트 텍스처링 영상을 복원하였다. An important element of a digital twin is to model and provide realistic spatial information without an occluded area for real objects. In 3D spatial information modeling, however, an occluded area inevitably occurs due to the shooting angle and shooting time. In this regard, this study implemented a technology that can detect a specific object using the latest technology, AI, and remove and in-paint it. In this study, the occlusion-causing object was automatically detected using the ResNet algorithm and the occlusion area in-painting in the texturing image. For the experimental data, the ResNet algorithm was applied to street trees that cause the most occlusion in building modeling to produce a street tree dataset and automatically detected and analyzed the results. Street trees, which are unstructured data, can be detected using the ResNet algorithm and removed using the DeepFillv2 algorithm, producing texturing images of shops and apartments that are restored using the adjacent pixels.

      • KCI등재

        가상 환경에서의 딥러닝 기반 폐색영역 검출을 위한 데이터베이스 구축

        김경수,황성호,이재인,곽석우,강원율,신대영 유공압건설기계학회 2022 드라이브·컨트롤 Vol.19 No.3

        This paper proposes a method for constructing and verifying datasets used in deep learning technology, to prevent safety accidents in automated construction machinery or autonomous vehicles. Although open datasets for developing image recognition technologies are challenging to meet requirements desired by users, this study proposes the interface of virtual simulators to facilitate the creation of training datasets desired by users. The pixel-level training image dataset was verified by creating scenarios, including various road types and objects in a virtual environment. Detecting an object from an image may interfere with the accurate path determination due to occlusion areas covered by another object. Thus, we construct a database, for developing an occlusion area detection algorithm in a virtual environment. Additionally, we present the possibility of its use as a deep learning dataset to calculate a grid map, that enables path search considering occlusion areas. Custom datasets are built using the RDBMS system.

      • KCI등재

        교정 치료 후 교합력, 교합면적의 변화

        최윤정,정주령,김경호 대한치과교정학회 2010 대한치과교정학회지 Vol.40 No.3

        고정식 교정장치를 이용한 교정치료 후 교합의 기능적 변화를 평가하기 위해, 교합력 및 교합접촉면적을 측정하여 단기적인 변화 양상을 확인하고 소구치 발치 여부에 따른 차이를 파악하였다. 고정식 교정장치로 치료를 종료한 18세에서 40세 사이의 성인을 남자군과 여자군으로 분류하고, 각각의 군을 4개의 소구치를 발치한 군과 비발치로 치료한 군으로 세부 분류하였다(남자발치군 16명, 남자비발치군 18명, 여자발치군 19명, 여자비발치군 21명). Dental prescale system (Fuji Film Corp., Tokyo, Japan)의 pressure sensitive sheet를 5초간 최대교두감합위에서 최대근력으로 교합하도록 한 뒤 CCD camera를 이용해 교합력과 교합면적을 측정하였다. 고정식 교정장치를 제거하고 고정식 유지장치를 붙인 직후, 교정장치 제거 1주일, 1개월, 3개월, 6개월, 1년 뒤에 각각 측정하여 비교하였다. 모든 군에서 교정장치 제거 후 1년간의 유지기간 동안 교합력과 교합면적은 점진적으로 증가하였다 (p < 0.05). 모든 측정 시기에서 남자군은 여자군보다 높은 교합력과 교합면적을 보였으며 (p < 0.05), 남자, 여자군 모두에서 발치군과 비발치군 사이에는 교합력 및 교합면적에서 통계적으로 유의한 차이가 관찰되지 않았다 (p > 0.05). 본 연구를 통해 교정치료 후 1년간의 유지기간 동안 교합이 기능적으로 향상됨을 파악하였고, 소구치 발치로 인한 교합의 기능적 저하는 없을 것이라 추측할 수 있었다. Objective: This study was performed to evaluate functional changes of occlusion after orthodontic treatment by measuring the occlusal force (OcFr) and occlusal contact area (OcAr), and to compare OcFr and OcAr change according to premolar extractions. Methods: Data were obtained from 74 patients who had finished orthodontic treatment using fixed appliance aged between 18 and 40 years. Subjects were divided into groups who had four premolars extractions or non-extraction (Male extraction-16, Male nonextraction-18, Female extraction-19, Female nonextraction-21). All subjects were asked to bite pressure-sensitive sheets into maximum intercuspation with maximum bite force, and OcFr and OcAr were evaluated by measuring the sheet with a CCD camera. Records were taken right after debonding, 1 week, 1 month, 3 months, 6 months and 1 year after debonding. Results: OcFr and OcAr increased gradually in all groups during the 1 year retention period (p < 0.05). Male groups showed higher OcFr and OcAr than female groups throughout the retention periods (p < 0.05). There were no statistically significant differences of OcFr and OcAr between extraction and non-extraction groups in both males and females (p > 0.05). Conclusions: Occlusion was improved functionally throughout the 1 year retention, and premolar extraction did not induce a decline in the functional aspect of occlusion.

      • KCI등재

        건강한 여아에서 발생한 황반부를 침범한 급성 망막분지동맥폐쇄 1예

        장지혜,문종원,조영욱,Ji Hye Jang,MD,Jong Won Moon,MD,Young Wook Cho,MD 대한안과학회 2014 대한안과학회지 Vol.55 No.2

        Purpose: We report a case of branch retinal artery occlusion (BRAO) interconnected with the perifoveal capillaries in a healthy young female. Case summary: A 16- year- old female presented with sudden loss of vision in her left eye. Upon initial examination, her left visual acuity was 0.02 and intraocular pressure was 31 mm Hg. Fundus examination revealed pallid retinal edema of the inferior posterior pole and retinal hemorrhage below optic disc. Ocular massage followed by anterior chamber paracentesis was performed for 30 minutes within 4 hours after the onset of vision loss. Fluorescein angiography (FAG) showed a very slow blood flow in the superotemporal and inferotemporal retinal arteries and a delay in retinal arteriovenous transit time. We performed hemodynamic tests such as blood pressure, echocardiography, and the hematologic test for thrombogenicity and all tests were normal. At three weeks after treatment, vision in the left eye was 0.7 and FAG revealed normal retinal arterial circulation and venous drainage time. Conclusions: This is the first report regarding acute BRAO in a healthy Korean child without any detectable systemic disorder. Prompt treatment can prevent permanent visual loss in BRAO involving the macular area. J Korean Ophthalmol Soc 2014;55(2):304-308

      • KCI등재

        Highly Dense 3D Surface Generation Using Multi-image Matching

        Myoung-Jong Noh,조우석,Ki In Bang 한국전자통신연구원 2012 ETRI Journal Vol.34 No.1

        This study presents an automatic matching method for generating a dense, accurate, and discontinuity-preserved digital surface model (DSM) using multiple images acquired by an aerial digital frame camera. The proposed method consists of two main procedures: area-based multi-image matching (AMIM) and stereo-pair epipolar line matching (SELM). AMIM evaluates the sum of the normalized cross correlation of corresponding image points from multiple images to determine the optimal height of an object point. A novel method is introduced for determining the search height range and incremental height, which are necessary for the vertical line locus used in the AMIM. This procedure also includes the means to select the best reference and target images for each strip so that multi-image matching can resolve the common problem over occlusion areas. The SELM extracts densely positioned distinct points along epipolar lines from the multiple images and generates a discontinuity-preserved DSM using geometric and radiometric constraints. The matched points derived by the AMIM are used as anchor points between overlapped images to find conjugate distinct points using epipolar geometry. The performance of the proposed method was evaluated for several different test areas, including urban areas.

      • KCI등재

        엄밀 정사영상 제작을 위한 가시고도 기반의 폐색영역 탐지

        윤준희(Youn Junhee),김기홍(Kim Gi Hong) 대한토목학회 2008 대한토목학회논문집 D Vol.28 No.3D

        전통적인 정사영상 제작기법으로는 이중 투영으로 인한 원치 않는 구조물의 중복이 정사영상 안에 생길 수 있다. 특히 고층 빌딩이 밀집된 도심지역에서는 고도의 변화가 심하여 이러한 현상이 자주 발생한다. 이러한 문제들로 인하여 도심지역의 폐색영역 탐지는 정확한 엄밀 정사영상(true orthophoto)의 제직에 있어서 매우 중요한 문제이다. 본 논문은 항공영상과 LiDAR로부터 가시고도 기반의 폐색영역 탐지기법을 다루고 있다. 본 논문에서는 LiDAR의 포인트 클라우드 데이터로부터 격자형태의 수치표고모형(DSM)을 제작한 후, DSM과 항공영상의 촬영점을 이용한 가시고도 기반의 폐색영역 탐지기법을 제안하였다. 마지막으로 만들어진 DSM과 전 과정에서 만들어진 폐색맵을 이용한 엄밀 정사영상의 제작과정을 기술하였다. 제안된 알고리즘은 미국 인디애나 주의 퍼듀 캠퍼스 지역에 적용되었다. With standard orthorectification algorithms, one can produce unacceptable structure duplication in the orthophoto due to the double projection. Because of the abrupt height differences, such structure duplication is a frequently occurred phenomenon in the dense urban area which includes multi-history buildings. Therefore, occlusion area detection especially for the urban area is a critical issue in generation of true orthophoto. This paper deals with occlusion area detection with visible height based approach from aerial imagery and LiDAR. In order to accomplish this, a grid format DSM is produced from the point clouds of LiDAR. Next, visible height based algorithm is proposed to detect the occlusion area for each camera exposure station with DSM. Finally, generation of true orthophoto is presented with DSM and previously produced occlusion maps. The proposed algorithms are applied in the Purdue campus, Indiana, USA.

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