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      • KCI등재
      • KCI등재

        Cone beam CT findings of retromolar canals: Report of cases and literature review

        한상선,박창서 대한영상치의학회 2013 Imaging Science in Dentistry Vol.43 No.4

        A retromolar canal is an anatomical variation in the mandible. As it includes the neurovascular bundle, local anesthetic insufficiency can occur, and an injury of the retromolar canal during dental surgery in the mandible may result in excessive bleeding, paresthesia, and traumatic neuroma. Using imaging analysis software, we evaluated the cone-beam computed tomography (CT) images of two Korean patients who presented with retromolar canals. Retromolar canals were detectable on the sagittal and cross-sectional images of cone-beam CT, but not on the panoramic radiographs of the patients. Therefore, the clinician should pay particular attention to the identification of retromolar canals by preoperative radiographic examination, and additional cone beam CT scanning would be recommended.

      • SCOPUSKCI등재

        단층촬영 각도의 변화가 하악과두의 골 증식성 병소의 인식에 미치는 영향

        한상선,김기덕,Han Sang-Sun,Kim Kee-Deog 대한영상치의학회 1999 Imaging Science in Dentistry Vol.29 No.1

        Purpose: To find out the effects that different tomographic angles have on the osteophytic lesion detectability of condyle head by comparison the individualized lateral tomographic image with the various tomographic angled images using SCANORA/sup (R)/. Materials & Methods: This study is performed to simulate osteophytic lesions by a series of dentin chips placed at six locations on condyle head. The control angle is 15° and from this angle. tomographic angle were varied with -10°, +10°, +20°. All the images with each sized dentin chip were scored by three dental radiologists with the use of confidence levels for presence or absence of the lesion, each examiner viewed one of the images twice. A rating scale from 0 to 2 (0, lesion definitely not present; 1. uncertain if lesion is present; 2, lesion definitely present). Responses were assessed by Tukey' s multiple comparison method and kappa value. Results: 1. The lesion size of 0.3 mm could not be detected in all the tomographic angles. As the size of the lesion increased the average value of lesion detectability also increased. 2. In the lesion sizes of 0.7 mm there was statistically significant difference between the 15° control angle and the altered tomographic angles (p<0.05). In 1.0 mm lesion there was no significant difference in the ±10° altered angles (p >0.05). but there was significant difference in the altered angle (p<0.05). In the lesion sizes of 0.3 mm and 2.0 mm there was no significant difference between the 15° control angle and all the altered angles (p >0.05). 3. In the anteromedial. anterosuperior, anterolateral area there was no significant difference between the 15° control angle and the ±10° altered angle (p >0.05), but in the comparison with the +20° altered angle there was significant difference (p<0.05). Conclusion: When imaging the lateral tomography of the temporomandibular joint used by SCANORA/sup (R)/, it can be considered that in the osteophytic lesion size of 2 mm and above, the tomographic angle difference within +20° to the horizontal angle of the condyle. has little effect on the lesion detectability. And in the lesion size of 1 mm, the altered angle within ±10° also has little effect on the lesion detectability.

      • 콘빔시티 촬영 프로토콜에 따른 DICOM 파일의 STL 변환 디지털 모델의 정확도 비교

        한상선,우창우,정호걸,이정희,차정열,나지연,황재준,김영현 대한통합치과학회 2017 대한통합치과학회지 Vol.6 No.1

        Objectives: The purpose of this study is to evaluate the accuracy of the digital models from Cone beam computed tomography (CBCT) scans of orthodontic diagnostic models by comparing the Digital Imaging & Communication in Medicine (DICOM) file to Stereolithography (STL) conversion data obtained by various voxel sized CBCT machines with the digital model obtained by a 3D optical extraoral scanner. Materials and Methods: Three orthodontic diagnostic models were scanned with a 3D optical scanner and stored as STL file data. The three models were scanned with the 5 modes which were Object scan (100 μm), 300, 400 μm of RAYSCAN α+ and 300, 390 μm of Alphard 3030. The DICOM files were converted to STL file data. For each orthodontic model, two digital models obtained by CBCT and optical scanner were paired, and GOM inspect software was used to superimpose and obtain the deviation between two digital models. One way ANOVA test was performed to determine whether there is a statistical difference in the mean value of deviations between digital models by the 5 protocols. Results: In three diagnostic models, the mean values of the deviations between the digital model of the Object scan (100 μm) and the digital model of 3D optical scanner were the smallest in comparison with other image protocols and there was a statistically significant difference (p<0.001). The mean values of the deviations were in the range of 0.0967 ~0.1022 mm. On the other hand, deviations of STL data from 400 μm of RAYSCAN α+ showed the largest mean value from 0.4007 to 0.4534 mm. Conclusions: The STL file data of the Object scan (100 μm) of RAYSCAN α+ is more accurate than those of large voxel sized protocols of CBCT. It shows the availability as an orthodontic digital model.

      • KCI등재
      • KCI등재

        영상치의학에서의 인공지능 기술 동향

        한상선 대한치과의사협회 2022 대한치과의사협회지 Vol.60 No.5

        Artificial intelligence (AI) technology is widely used in our life. Likewise, AI in the field of oral and maxillofacial radiology is being studied in various fields such as detection, classification, segmentation, measurement, and image translation. This study aimed to investigate the 1) research papers and 2) developed software based on AI in the oral and maxillofacial radiology to help dentists actively utilize the upcoming AI application. Papers were searched through 5 major data bases until June 2021, and a total of 101 papers corresponding to dental imaging-based AI research in the oral and maxillofacial area were collected. A number of AI papers showed a sharp increase from 2017, and the most research conducted on panoramas. The AI based dental imaging software search for the purpose of commercialization was first collected based on the list announced on October 21, 2020 by the Ministry of Food and Drug Safety of Korea and the web database search was on October 22-23, 2021. Total 23 software were searched, and the function of automatically detecting lesions in panoramic or apical images and the orthodontic diagnosis analysis function by automatically recognizing important anatomical landmarks in cephalogram were the most popular in the world. If a clear profitability model is presented in the future and evidence for clinical effectiveness and ethical responsibility are prepared, the clinical use of AI-based application using dental images will increase. Therefore, it is thought that dentists need to take an interest in AI technology research trends and product development and actively participate.

      • SCOPUSKCI등재

        단층촬영 각도의 변화가 하악과두의 골 증식성 병소의 인식에 미치는 영향

        김기덕,한상선 大韓口腔顎顔面 放射線學會 1999 Imaging Science in Dentistry Vol.29 No.1

        Purpose: To find out the effects that different tomographic angles have on the osteophytic lesion detectability of condyle head by comparison the individualized lateral tomographic image with the various tomographic angled images using SCANORA . Materials & Methods: This study is performed to simulate osteophytic lesions by a series of dentin chips placed at six locations on condyle head. The control angle is 15°and from this angle, tomographic angle were varied with -10°, +10°+20°. All the images with each sized dentin chip were scored by three dental radiologists with the use of confidence levels for presence or absence of the lesion, each examiner viewed one of the images twice. A rating scale from 0 to 2 (0, lesion definitely not present; 1, uncertain if lesion is present; 2, lesion definitely present). Responses were assessed by Tukey's multiple comparison method and kappa value. Results: 1. The lesion size of 0.3mm could not be detected in all the tomographic angles. As the size of the lesion increased the average value of lesion detectability also increased. 2. In the lesion sizes of 0.7mm there was statistically significant difference between the 15°control angle and the altered tomographic angles (p<0.05). In 1.0mm lesion there was no significant difference in the ±10°altered angles (p<0.05), but there was significant difference in the altered angle(p<0.05). In the lesion sizes of 0.3mm and 2.0mm there was no significant difference between the 15°control angle and all the altered angle(p>0.05). 3. In the anteromedial, anterosuperior, anterolateral area there was no significant difference between the 15°control angle and the ±10°altered angle(p>0.05), but in the comparison with the +20°alterd angle there was significant difference(p>0.05). Conclusion: When imaging the lateral tomography of the temporomandibular joint used by SCANORA, it can be considered that in the osteophytic lesion size of 2mm and above, the tomographic angle difference within +20°to the horizontal angle of the condyle, has little effect on the lesion detectability. And in the lesion size of 1mm, the altered angle within ±10°also has little effect on the lesion detectability.

      • 360 도 동영상 기반 가상 철도 지진 체험 시스템

        한상선(Sangsun Han),유민택(Mintek Yu),곽동엽(Dong-youp Kwak),고민삼(Minsam Go),김기범(Kibum Kim) 한국HCI학회 2022 한국HCI학회 학술대회 Vol.2022 No.2

        철도 운전 중 지진은 인적/물적 피해를 줄 수 있는 재해인 만큼 대처훈련이 필요하다. 하지만 지진에 대한 대처 훈련을 진행할 때, 실제 지진을 체험하는 것은 거의 불가능하다. 그래서 가상현실 (VR) 시스템에 360 도 동영상과 진동의자를 적용하여 실제와 같은 지진환경을 체험하는 시스템을 개발했다. 360 도 영상을 철도 훈련장에서 촬영하여 실제 철도 환경을 가상환경에서도 그대로 느끼도록 만들었다. 전동의자는 열차 내의 진동과 지진의 진동을 앉은 자리에서 느낄 수 있도록 개발했다. 이와 더불어 실제 열차 운전과 비슷하도록 속도 제어기를 개발하여 조절할 수 있도록 만들었다. 본 시스템에 대해서 총 4 명의 열차 기관사에게 실험을 진행하여 가상환경 시스템이 재해 훈련에 어떻게 사용할 수 있는지를 보여주고자 한다.

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