• Journal of Korean Academy of Oral and Maxillofacial Radiology
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• v.26 no.2
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• pp.191-200
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• 1996

This study was performed to determine the adequate resolution and compression method in teleradiology. A digital imaging system using Machintosh IT ci computer, 15' Sony high resolution RGB monitor, Umax Power look flatbed scanner with transparency unit and 12 panoramic radiographs were used. The results were as follows : 1. Relative detectability at the group scanned by 30ddpi, 600dpi and 1200dpi was same as those at the real panoramic radiographs. 2. Perceivable image quality degradation was found at the 25％ of middle quality of JPEG compression. But those were not diagnostically significant. 3. Perceivable image quality degradation was found at the 100％ of low quality of JPEG compression. And 8cases among them were diagnostically significant. On the basis of the above results, it is considered that the adequate resolution in scanning radiographs for teleradiology is 300dpi and compression method is the middle quality of JPEG compression.

• Journal of Satellite, Information and Communications
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• v.9 no.2
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• pp.80-84
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• 2014

As an integrated technology with IT and biomedical sciences, U-health offers various healthcare services without time and space limit. In order to make a proper diagnosis, doctors need two key technologies: biosignal measurement and high reliability communication technologies. In this paper, we introduce an implementation process of a bio signal system with using an electrocardiography(ECG) sensor, video, global positioning system(GPS), communication module and micro controller unit(MCU).

• Journal of the Korean Society of Radiology
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• v.82 no.2
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• pp.440-446
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• 2021

The levoatriocardinal vein is an uncommon pulmonary venous abnormality that connects the left atrium or pulmonary vein with the systemic vein. It is distinct from partial anomalous pulmonary venous return in that the former forms a connection with the left atrium through the normal pulmonary vein whereas the latter involves pulmonary venous drainage to the systemic vein. Herein, we describe a case of the levoatriocardinal vein initially misdiagnosed as a pulmonary arteriovenous malformation using chest radiography and chest CT. The levoatriocardinal vein combined with pulmonary venous varix was confirmed using pulmonary angiography. To the best of our knowledge, this unusual coexistence of the levoatriocardinal vein and pulmonary venous varix has not been reported in English literature.

• Journal of the Korean Society of Radiology
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• v.16 no.1
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• pp.1-6
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• 2022

Deep learning is a collection of algorithms that enable learning by summarizing the key contents of large amounts of data; it is being developed to diagnose lesions in the medical imaging field. To evaluate the accuracy of the cerebral hemorrhage diagnosis, we used a convolutional neural network (CNN) to derive the diagnostic accuracy of cerebral parenchyma computed tomography (CT) images and the cerebral parenchyma CT images of areas where cerebral hemorrhages are suspected of having occurred. We compared the accuracy of CNN with different numbers of hidden layers and discovered that CNN with more hidden layers resulted in higher accuracy. The analysis results of the derived CT images used in this study to determine the presence of cerebral hemorrhages are expected to be used as foundation data in studies related to the application of artificial intelligence in the medical imaging industry.

• Journal of the Korean Society for Nondestructive Testing
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• v.29 no.4
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• pp.338-343
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• 2009

Tomography is the imaging method of cross sectional area using multi beam signals and is mainly applied to the medical diagnosis to acquire the image of the inside human body. This method is pretty meaningful in nondestructive evaluation field since the imaging of the inspection region can enhance the comprehension of the inspector. Recently, much attention has been paid to the guided wave for the diagnosis of platelike structures. So, in this work, a study on the imaging of the damage location in a plate was carried out on the basis of computer aided analysis of guided waves and tomographic imaging. To this end, boundary element method was employed to analyze the effect of the damage in plate on the propagation of the guided waves and the analytic results were applied to the tomographic imaging method to identify the damage location. Consequently, it was shown that the number of sensors heavily affect the inspection performance of the damage location.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.901-904
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• 2007

Nowadays, in many fields of medical treatment, we can make an observation and a diagnosis of inward disease without using a surgical operation. As one of them, ultra-sound diagnosis system can be available widely in its cost and size compared with other medical instruments. This system also make it possible for us to see the inner parts of the body in real time harmlessly for a long time. So it can be utilized to inspect the movement of heart or fetus and to diagnose an internal disease of the soft tissues. Ultra-sound images can be generated by the reflexive and scattered wave through the pulse generator and so in ultrasound images there exist inherently many affective noised signals. In this paper, we are to take an noise-restrained image and to extract a more affective regions of the images.

• Journal of the Korean Society of Radiology
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• v.17 no.6
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• pp.881-887
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• 2023

This study aims to analyze the development and current trends of AI-based medical imaging devices commercialized in South Korea. As of September 30, 2023, there were a total of 186 AI-based medical devices licensed, certified, and reported to the Korean Ministry of Food and Drug Safety, of which 138 were related to imaging. The study comprehensively examined the yearly approval trends, equipment types, application areas, and key functions from 2018 to 2023. The study found that the number of AI medical devices started from four products in 2018 and grew steadily until 2023, with a sharp increase after 2020. This can be attributed to the interaction between the advancement of AI technology and the increasing demand in the medical field. By equipment, AI medical devices were developed in the order of CT, X-ray, and MR, which reflects the characteristics and clinical importance of the images of each equipment. This study found that the development of AI medical devices for specific areas such as the thorax, cranial nerves, and musculoskeletal system is active, and the main functions are medical image analysis, detection and diagnosis assistance, and image transmission. These results suggest that AI's pattern recognition and data analysis capabilities are playing an important role in the medical imaging field. In addition, this study examined the number of Korean products that have received international certifications, particularly the US FDA and European CE. The results show that many products have been certified by both organizations, indicating that Korean AI medical devices are in line with international standards and are competitive in the global market. By analyzing the impact of AI technology on medical imaging and its potential for development, this study provides important implications for future research and development directions. However, challenges such as regulatory aspects, data quality and accessibility, and clinical validity are also pointed out, requiring continued research and improvement on these issues.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.915-916
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• 2017

본 연구에서는 X-ray 영상에서 산란선의 영향을 보정하는 소프트웨어 기법을 제시한다. 영상에서 픽셀값과 에지 요소가 연관된 에너지함수를 정의하고 이를 최적화 하는 방법을 통하여 X-ray 영상을 개선한다. 영상개선 과정에서 추출하는 에지정보의 신뢰성은 응용의 특성과 연관하여 성능에 민감한 영향을 준다. 이에 본 연구에서는 기존의 에지 추출 기법을 통합한 에지 정보 개선 기법을 적용하였으며 실제 X-ray 영상을 사용한 실험결과로부터 제안된 이론의 타당성을 고찰하였다. 이는 X-ray를 사용한 의료진단에서 산란선 보정을 위한 하드웨어의 기능을 대치할 수 있는 방법으로서 의미를 갖는다.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10b
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• pp.535-537
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• 2000

인체 장기의 내부 벽면을 관찰하기 위하여 사용된 내시경 검사 기법은 내시경을 삽입하고, 질병 부위를 찾는 과정에서 환자에게 고통을 유발시키고, 정확한 진단을 내리기 위해서는 검사자의 오랜 경험과 숙달을 필요로 한다. 그러므로 각종 의료 영상을 기반으로 한 가상 내시경 시스템에 대한 연구와 개발이 요구된다. 본 논문에서는 초음파 영상을 기반으로 하여 병변 부위의 3차원 영상을 생성하고, 탐색하는 시스템을 제안한다. 우선 획득된 초음파 영상으로부터 장기에 대한 윤곽선 정보를 얻기 위하여, 초음파 영상에 대한 전처리 작업과 분할 작업을 수행하였고, 추출된 윤곽선 정보를 기반으로 3차원 표면 모델을 생성하였다. 3차원 표면 모델은 VRML 2.0 형식의 3차원 객체로 자동 변환되어 일반 VRML Plug-in viewer 및 자바 제어 모듈을 이용하여 3차원 장기 모델에 대한 탐색을 가능하도록 하였다.

• The Journal of the Acoustical Society of Korea
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• v.22 no.8
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• pp.622-628
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• 2003

Recently, ultrasound transducers in several tens MHz band, which can give the spatial resolution higher than several tens micrometers, have been intensively studying for applying to medical diagnostic fields of ophthalmology and dermatology. In this paper, the background of the studies, structures and characteristics of the transducers, and images obtained by the transducers are briefly reviewed.