• Proceedings of the KOSOMBE Conference
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• v.1998 no.11
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• pp.275-276
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• 1998

In this paper, we present the software on the development of the computerized imaging system for diagnosis and treatment plannig of orthodontics and orthognathic surgery. Soft tissue changes followed by orthognathic surgery mainly depends on surgical movements of hard tissue. Then, the stepwise multiple regression method was used to investigate the soft tissue changes followed by hard tissue changes. As a result of this research, we were able to develop a system which diagnoses automatic X-ray images and predicts soft tissue changes after othognathic surgery.

• Proceedings of the KSLP Conference
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• 2003.11a
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• pp.151-152
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• 2003

말소리가 만들어지는 과정 중에서 성대에서 성대음이 만들어지는 과정이 가장 핵심적인 과정이라고 할 수 있다. 이때의 성대의 진동을 관찰할 수 있는 방법은 1) 초고속 영화 촬영(Ultra-speed cinematography), 2) 스트로보스코피(Stroboscopy), 3) 성문파형검사(Glottography) 등이 사용되어 왔다. 1)은 고가의 장비이며 분석도 어려워서 아주 극소수의 연구기관에서만 부분적으로 사용되어 왔고, 2)와 3)은 임상에서 그리고 연구실에서 널리 사용되어 왔다. 스트로보스코피의 영상을 비디오로 녹화하는 장비는 이제는 이비인후과 영역에서 웬만한 종합병원급 의료기관 이라면 거의 필수적인 장비로 자리잡고 있다 그만큼 성대의 미세한 병변에 대한 진단적 가치가 높다고 할 수 있겠다. 스트로보스코피는 끊어져서 발생되는 제논 광선이 내시경을 통하여 성대에 전해지고, 성대의 실제의 진동 보다. 아주 느리게 움직이는 것 같은 일종의 허상이 화면에 나타나고 이를 비디오시스템으로 저장하여 관찰하는 것이다(Fig. 1, 2). (중략)

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2001.05c
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• pp.178-181
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• 2001

This paper presents the development of electromagnetic wave detecting equipment for diagnosis of enclosed switchboard. High voltage power equipments are very important equipment of the key industries and the private enterprise. Power line accidents are national plans because of those set off casualties lose of power equipments and communication networks. Therefore the necessity of the development of detecting for power equipment diagnosis is demand for prevention of high voltage equipment accidents. This paper is the development of electromagnetic wave detecting equipment for diagnosis of high voltage equipment. This paper establishes the diagnosis method for high voltage power equipments, that secures original technique and possesses detecting technique for electromagnetic wave. By the study we developed electromagnetic wave detector, and we applied this equipment application tests at the place constructed high voltage equipments.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.08a
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• pp.253.2-253.2
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• 2013

탄소나노튜브(CNT)는 나노미터의 직경과 마이크로미터의 길이를 갖는 기하학적 구조와 우수한 전계방출 특성으로 디지털 엑스선 소스와 같은 차세대 전자소스 소자에 활용되고 있다. 본 발표에서는 고밀착성의 CNT 에미터와 진공 브레이징 공정 개발을 기초로 설계, 제작된 CNT 기반 디지털 엑스선 튜브에 대해서 논의한다. 나노 필러를 함유한 페이스트를 제조하여 캐소드 기판에 대한 CNT 에미터의 밀착성을 향상시켰으며, 진공 브레이징을 고온에서 최적화함으로써 진공 밀봉된 엑스선 튜브내의 진공도를 안정적으로 확보하였다. 유방암 진단을 위한 디지털 단층합성 시스템용으로 50 mA 이상의 고전류 엑스선 튜브를 제작함과 아울러 근접 암치료 또는 강내형 엑스선 영상용으로 6 mm 이하의 직경을 갖는 초소형 엑스선 튜브를 제작하였다. 개발된 CNT 기반 엑스선 튜브는 우수한 안정성과 신뢰성을 보이며, 에너지와 강도를 쉽게 제어할 수 있는 디지털 특성도 잘 나타냈다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.6C
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• pp.793-800
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• 2004

In this paper, we propose a new automatic pipe grading algorithm for an efficient management of transmission pipe under the ground. Since the conventional transmission pipe evaluation was conducted by subjective decision made by an individual operator, it was difficult to grade them by means of numerical methods and also hard to realistically construct numerical database system. To solve these problems, we Int obtain some information on the current condition of pipes' sections by shooting laser beam at a regular rate and then apply grading algorithm after complete calculation of minimum diameter of pipe. We use some of preprocessing techniques to reduce noise and also use various color models to consider special conditions of each inner pipe. The measurement of pipes' minimum diameter and decision of grade are performed through a detailed processing stages. By some experimental results performed in the field, we show that over 90 percent of correct grade decisions are made by the proposed algorithm.

• Journal of Korea Multimedia Society
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• v.13 no.5
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• pp.702-709
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• 2010

The performance of mass segmentation is greatly influenced by an initial position of a mass. Some researchers performed mass segmentation with the initial position of a mass given by radiologists. The purpose of our research is to find the initial position for mass segmentation and to notify the segmented mass to radiologists without any additional information on mammograms. The proposed system consists of breast segmentation by region growing and opening operations, decision of an initial seed with characteristics of masses, and mass segmentation by a level set segmentation. A seed for mass segmentation is set based on mass scoring measure calculated by block-based variances and masked information in a sub-sampled mammogram. We used a DDSM database to evaluate the system. The accuracy of mass detection is 78% sensitivity at 4 FP/image, and it reached 92% if multiple views for masses were considered.

• Journal of Dental Rehabilitation and Applied Science
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• v.31 no.2
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• pp.158-168
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• 2015

This article describes how to use digital system in a fully edentulous case that diagnosis to definitive prosthesis fabrication. While proceeding oral scan and CBCT taking, digital markers were attached on maxillary palate and lower existing denture. Using CBCT image and oral scan image, the bone contour and anatomical structures were analyzed and flapless surgical guide, customized abutment and prosthesis were made. After the osseointegration, the definitive prosthesis was fabricated using the oral scan image with scan body. It provides clinicians with a fast workflow and improves clinical efficiency.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.6
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• pp.35-43
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• 2009

In the Computer Aided Diagnosis(CAD) System, the efficient way of classifying nodules from chest CT images of a patient is to perform the classification of the remaining part after the pulmonary vessel extraction. During the pulmonary vessel extraction, due to the small difference between the vessel and nodule features in imaging studies such as CT scans after having an injection of contrast, nodule maybe extracted along with the pulmonary vessel. Therefore, the pulmonary vessel extraction method plays an important role in the nodule classification process. In this paper, we propose a nodule reclassification method based on vessel thickness analysis. The proposed method consist of four steps, lung region searching step, vessel extraction and thinning step, vessel topology formation and correction step and the reclassification of nodule in the vessel candidate step. The radiologists helped us to compare the accuracy of the CAD system using the proposed method and the accuracy of general one. Experimental results show that the proposed method can extract pulmonary vessels and reclassify false-positive nodules accurately.

• Journal of the Korea Computer Graphics Society
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• v.28 no.3
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• pp.55-65
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• 2022

Recently, deep learning-based automated systems for identifying and detecting landmarks have been proposed. In order to train such a deep learning-based model without overfitting, a large amount of image and labeling data is required. Conventionally, an experienced reader manually identifies and labels landmarks in a patient's image. However, such measurement is not only expensive, but also has poor reproducibility, so the need for an automated labeling method has been raised. In addition, in the X-ray image, since various human tissues on the path through which the photons pass are displayed, it is difficult to identify the landmark compared to a general natural image or a 3D image modality image. In this study, we propose a geometric data augmentation technique that enables the generation of a large amount of labeling data in X-ray images. In addition, the optimal attention mechanism for landmark detection was presented through the implementation and application of various attention techniques to improve the detection performance of 16 major landmarks in the skull. Finally, among the major cranial landmarks, markers that ensure stable detection are derived, and these markers are expected to have high clinical application potential.

• Journal of the korean academy of Pediatric Dentistry
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• v.36 no.2
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• pp.199-208
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• 2009

This study was performed to improve the conventional $DIFOTI^{TM}$ system(EOS Inc., USA) by developing the prototype of DIFOTI system which consists of light emitting diode(LED) and digital camera. The images of enamel surfaces treated under Carbopol 907 de-mineralizing solution were taken daily during 7 days of experimental periods by both DIFOTI systems. The results of comparative analyses of obtained images can be summarized as follows: 1. Trans-illumination indices of images taken from sample enamel surfaces were decreased with time in both systems. 2. The difference of intensity of luminance between sound and de-mineralized enamel surface in prototype DIFOTI system was shown to be relatively smaller than conventional $DIFOTI^{TM}$ system. The application of LED light source in prototype DIFOTI system could possibly reduce the amount of current consumption and that could ultimately lead us to the successful development of wireless model with battery. The innovative development of digital camera is undoubtedly expected to create much clearer image despite of wireless transfer. LED and digital camera can be combined into a smaller size but a very important task of improving image manager and analyzing program into a simpler and easier one to manipulate has to be solved.