• Title/Summary/Keyword: 광학적 진단

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Thymic Neuroendocrine Tumor (흉선의 신경내분비 종양)

  • 이응배;이상철;박태인;조준용;장봉현;이종태;김규태
    • Journal of Chest Surgery
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    • v.35 no.4
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    • pp.325-328
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    • 2002
  • The neuroendocrine tumor is a rare thymic neoplasm, which has been regarded as a distinct tumor from thymoma and originates from Kultschizky cell. The pathologic diagnosis of thymic neuroendocrine tumor has been on findings from light microscopy, immunohistochemical studies, and electron microscopy. About 50% of thymic carcinoids are seen with endocrinopathies. Recurrence and extrathoracic metastasis are characteristics of thymic carcinoids. Surgical removal of the initial and recurred tumor is considered to be the most effective treatment. The role of the adjuvant chemotherapy and radiotherapy is still uncertain. Herein we report a case of thymic neuroendocrine tumor, which was resected surgically.

A Study of Electrical and Optical Method of Safety Standards for diagnosis of Power Facility using UV-IR Camera (UV-IR 카메라를 이용한 전력설비 진단을 위한 전기 및 광학적 안전 기준 설정 연구)

  • Kim, Young-Seok;Kim, Chong-Min;Choi, Myeong-Il;Bang, Sun-Bae;Shong, Kil-Mok;Kwag, Dong-Soon
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.27 no.4
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    • pp.54-61
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    • 2013
  • UV-IR camera is being used for predictive maintenance of high voltage equipment together with measurement of temperature on localized heat and corona discharge. This paper was suggested the judgement method that is the discharge count, UV image pattern and discharge matching rate to apply the UV-IR camera on power facility. The discharge count method is counted by UV image pixel value. the UV image pattern method is determined by the UV image shape using neural network algorithm method, separated by Sunflower, Jellyfish, Ameba. The UV discharge matching is compare the breakdown the UV image size and measuring UV image size according to distance.

A Study on the OTDR System for diagnosis of optical fiber (광섬유 진단을 위한 OTDR 시스템 구현)

  • Park, Hae-Soo;Kim, Yo-Hee;Oh, Sang-Ki;Kim, In-Soo;Yang, Sung-Kuk;Kim, Young-Jun
    • Proceedings of the KIEE Conference
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    • 2001.07c
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    • pp.1844-1846
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    • 2001
  • 광섬유는 저손실, 광대역의 전송특성을 가지며 세경(細徑), 경량등 많은 장점을 가지고 있지만 동케이블과 같이 파단점, 불연속점등의 장해점 탐색에 대한 어려움이 있다. 이러한 문제점을 해결하기 위하여 OTDR(Optical Time Domain Reflectometer)은 고감도, 고정도의 광센싱 기술, 극초단 광펄스 레이다 기술, 광다중화 센서 네트웍기술, 실시간 광신호처리 기술 등 정밀 광계측 및 신호처리기술을 적용하여 설치된 광섬유의 손실 정도를 측정하는 시스템으로 광섬유에 입사된 광의 산란 가운데 Rayleigh 산란에 의해서 생기는 후방산란광을 관측하여 광파이버의 파단점 탐색 및 손실측정이 가능하다. 최근 대부분의 유선통신망은 광섬유를 이용한 광통신방식으로 이루어지고 있으며 이러한 광섬유의 고장점을 찾기 위한 방법은 OTDR방식이 유일하다고 할 수 있다. 본 논문은 Rayleigh 후방산란에 의한 광학적 특성을 규명하고 이러한 특성을 이용하여 이용한 광섬유 유지보수용 계측시스템을 설계, 제작하고 실험한 결과에 대하여 설명하고 고찰하였다. 측정거리를 40Km까지 측정하도록 하였으며, 모니터상에서의 거리 분해능은 5m정도를 가지며 1310nm의 파장을 사용하였다.

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Self-diagnosis Algorithm for Water Quality Sensors Based on Water Quality Monitoring Data (수질 모니터링 데이터 기반의 수질센서 자가진단 알고리즘)

  • HongJoong Kim;Jong-Min Kim;Tae-Hyung Kang;Gab-Sang Ryu
    • Journal of Internet of Things and Convergence
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    • v.9 no.1
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    • pp.41-47
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    • 2023
  • Today, due to the increase in global population growth, the international community is discussing solving the food problem. The aquaculture industry is emerging as an alternative to solving the food problem. For the innovative growth of the aquaculture industry, smart fish farms that combine the fourth industrial technology are recently being distributed, and full-cycle digitalization is being promoted. Water quality sensors, which are important in the aquaculture industry, are electrochemical portable sensors that check water quality individually and intermittently, making it impossible to analyze and manage water quality in real time. Recently, optically-based monitoring sensors have been developed and applied, but the reliability of monitoring data cannot be guaranteed because the state information of the water quality sensor is unknown. Therefore, this paper proposes an algorithm representing self-diagnosis status such as Failure, Out of Specification, Maintenance Required, and Check Function based on monitoring data collected by water quality sensors to ensure data reliability.

Reconstruction method of confocal microscopic image for 3-dimensional analysis of uterine cervix cancer cell (자궁경부암세포의 3차원 분석을 위한 컨포컬 현미경 영상의 재구성 방법)

  • 최익환;최현주;이병일;조남훈;정구보;최흥국
    • Proceedings of the Korea Multimedia Society Conference
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    • 2003.05b
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    • pp.242-245
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    • 2003
  • 현미경을 통해 획득한 세포영상이나 조직영상은 질병의 유무나 암의 진행 정도를 파악하여 환자를 치료하기 위한 매우 중요한 요소이다. 하지만 현재 세포나 조직영상에 대한 분석은 광학현미경을 통해 얻어진 2차원 영상분석방법을 주로 이용하고 있으므로 잘린 단면의 각도나 두께에 따라 서로 다른 분석결과를 나타내는 문제점을 가지고 있다 따라서 본 연구에서는 콘포컬 현미경을 사용하여 50nm 두께의 연속적 섹션 영상을 획득한 후, 이를 바탕으로 자궁경부암세포를 3차원으로 재구성 방법을 제안한다. 본 연구의 결과는 2차원 정량분석에 대한 한계를 극복하고 정확한 진단과 예후 추정으로 환자에게 최적의 임상적 치료를 제공할 수 있는 기반을 마련하는데 활용하고자 한다

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Primary Hemangiopericytoma of the Lung -1 Case Report - (폐에 발생한 원발성 혈관주위세포종 -1례 보고-)

  • 최광민;김건일;신호승;박희철;홍기우
    • Journal of Chest Surgery
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    • v.31 no.3
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    • pp.315-318
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    • 1998
  • Primary hemangioperiycytoma is quite rare tumor of the lung and arising from pericyte in external layer of capillaries. Most cases are developed in 4th and 5th decade, are asymptomatic, and have malignant otential. On chest radiography, primary pulmonary hemangiopericytoma shows lobulated, well demarcated, homogeneous soft tissue density. Microscopically, it consisits of numerous vascular spaces of variable size and shape separated by aggregates of tightly packed oval to spindle-shaped cells. Treatment of choice is surgical excision. We report a case of primary pulmonary hemangiopericytoma in a 16-year-old man who had well demarcated homogeneous mass in the superior segment of left lower lobe, but had no symptom. He had undergone left lower lobectomy. He has been followed up for 8 months but has no sign of relapse or metastasis yet.

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A case of biliary ascariasis accompanied by cholelithiasis (담석증을 동반한 담도회충증 1례)

  • 최민호;박인애
    • Parasites, Hosts and Diseases
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    • v.31 no.1
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    • pp.71-74
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    • 1993
  • A 43-year-old Korean woman with billary ascariasis accompanied by cholellthiasis is reported. Her chief complaints were abdominal pain, nausea, and vomiting. She had the past history of several attacks of abdominal pain in her childhood. ciliary stones were recovered from the left hepatic duct after cholecystectomy, which contained degenerated cuticle or body wall, and numerous eggs of Ascaris lumbriooides. It is strongly suggested that the ciliary stones were formed from the dead Ascmis worm(s). This is a rare case of biliary ascariasis during the recent 5 years in Korea.

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Scientific Investigation for Conservation Methodology of Bracket Mural Paintings of Daeungjeon Hall in Jikjisa Temple (직지사 대웅전 포벽화 보존방안을 위한 과학적 조사)

  • Lee, Hwa Soo;Kim, Seol Hui;Han, Kyeong Soon
    • Journal of Conservation Science
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    • v.34 no.2
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    • pp.107-118
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    • 2018
  • This report does studied for making the method of conserving bracket murals in Daeungjeon of Jikjisa Temple, through the scientific way. Results of evaluated the conservation status at the braket mural paintings, most serious damage is structural damage like cracks, breakage, and delamination. After optical investigation, a characteristic point wasn't found such as underdrawing or traces of a coat of paint. The ultrasonic examination speed by each wall painting was measured from about 195.8 m/s to 392.7 m/s, according to the location of the surface, and it was able to compare the surface properties according to the location. In Infrared-thermal image measurement shows that wall layer separation and paint layer delamination are closely detected, therefore it was able to judge of damage on the objective way. Material analysis revealed that the walls were made by sand and weathering soil. The wall layer combined sand with less than fine sand size by nearly 5:5, and the finishing layer was found to have mixed medium sand and fine sand at approximately 6:4 rates. However, In case of finishing layer, mixing ratios of sizes less than very fine sand were found to be significantly lower than wall. Therefore, it is estimated that the plysical damage such as the separation between the layers of the walls created in the braket mural paintings, is continuously caused by changes in the internal stresses and volume ratio caused by the density differences between the wall and the finishing layers.

Study on Fabrication and Photoluminescent Properties of Fine Phosphor Film for Application of Radiation Image Sensor (방사선 영상센서 적용을 위한 미세 발광체 필름 제조 및 광학적 특성에 관한 연구)

  • Kang, Sang-Sik;Choi, Young-Zoon;Lee, Kwang-Oop;Moon, Yong-Soo;Kim, Mi-Young;Lee, Sang-Bong;Jung, Bong-Jae;Park, Ji-Koon
    • Journal of the Korean Society of Radiology
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    • v.4 no.4
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    • pp.25-28
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    • 2010
  • In this paper, the fabrication and feasibility study of clinical application with euripium doped gadollium oxide ($Gd_2O_3$:Eu) nano phosphor derived by low-temperature solution combustion method. From the fabricated phosphor, the photoluminescent characteristic and linearity as a function of phosphor film thickness were investigated to evaluate x-ray converstion properties. From the experimental results, the luminescent intensity was $2945pC/cm^2$-mR at $270{\mu}m$ $Gd_2O_3$:Eu film and this value is higher 1.2 time the conventional bulk phosphor, which is possible to imaging acquisition. And good linearity was shown at x-ray exposure range for clinical diagnostic application.

Identification of Multiple Cancer Cell Lines from Microscopic Images via Deep Learning (심층 학습을 통한 암세포 광학영상 식별기법)

  • Park, Jinhyung;Choe, Se-woon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.374-376
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    • 2021
  • For the diagnosis of cancer-related diseases in clinical practice, pathological examination using biopsy is essential after basic diagnosis using imaging equipment. In order to proceed with such a biopsy, the assistance of an oncologist, clinical pathologist, etc. with specialized knowledge and the minimum required time are essential for confirmation. In recent years, research related to the establishment of a system capable of automatic classification of cancer cells using artificial intelligence is being actively conducted. However, previous studies show limitations in the type and accuracy of cells based on a limited algorithm. In this study, we propose a method to identify a total of 4 cancer cells through a convolutional neural network, a kind of deep learning. The optical images obtained through cell culture were learned through EfficientNet after performing pre-processing such as identification of the location of cells and image segmentation using OpenCV. The model used various hyper parameters based on EfficientNet, and trained InceptionV3 to compare and analyze the performance. As a result, cells were classified with a high accuracy of 96.8%, and this analysis method is expected to be helpful in confirming cancer.

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