• 대한방사성의약품학회지
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• 제9권1호
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• pp.3-8
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• 2023

Parkinson's disease is a neurodegenerative disease caused by damage to brain neurons related to dopamine. Non-clinical animal models mainly used in Parkinson's disease research include drug-induced models of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine and 6-hydroxydopamine, and genetically modified transgenic animal models. Parkinson's diagnosis can be made using brain imaging of the substantia nigra-striatal dopamine system and using a radiotracer that specifically binds to the dopamine transporter. In this study, ¹⁸F-N-(3-fluoropropyl)-2β-carboxymethoxy-3β-(4-iodophenyl) nortropane was used to confirm the image evaluation cutoff between normal and parkinson's disease models, and to confirm model persistence over time. In addition, the efficacy of single or combined administration of clinically used therapeutic drugs in parkinson's animal models was evaluated. Image analysis was performed using the PMOD software. Converted to standardized uptake value, and analyzed by standardized uptake value ratio by dividing the average value of left striatum by the average value of right striatum obtained by applying positron emission tomography images to the atlas magnetic resonance template. The image cutoff of the normal and the parkinson's disease model was calculated as SUVR=0.829, and it was confirmed that it was maintained during the test period. In the three-drug combination administration group, the right and left striatum showed a high symmetry of more than 0.942 on average and recovered significantly. Images using ¹⁸F-N-(3-fluoropropyl)-2β-carboxymethoxy-3β-(4-iodophenyl) nortropane are thought to be able to diagnose and evaluate treatment efficacy of non-clinical Parkinson's disease.

• Journal of Electrical Engineering and Technology
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• 제10권5호
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• pp.2197-2204
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• 2015

In recent years, medical image diagnosis has growing significant momentous in the medicinal field. Brain and lung image of patient are distorted with salt and pepper noise is caused by moving the head and chest during scanning process of patients. Reconstruction of these images is a most significant field of diagnostic evaluation and is produced clearly through techniques such as linear or non-linear filtering. However, restored images are produced with smaller amount of noise reduction in the presence of huge magnitude of salt and pepper noises. To eliminate the high density of salt and pepper noises from the reproduction of images, a new efficient fuzzy based median filtering algorithm with a moderate elapsed time is proposed in this paper. Reproduction image results show enhanced performance for the proposed algorithm over other available noise reduction filtering techniques in terms of peak signal -to -noise ratio (PSNR), mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), image enhancement factor (IMF) and structural similarity (SSIM) value when tested on different medical images like magnetic resonance imaging (MRI) and computer tomography (CT) scan brain image and CT scan lung image. The introduced algorithm is switching filter that recognize the noise pixels and then corrects them by using median filter with fuzzy two-sided π- membership function for extracting the local information.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.83-93
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• 2021

COVID-19 poses a major risk to global health, highlighting the importance of faster and proper diagnosis. To handle the rise in the number of patients and eliminate redundant tests, healthcare information exchange and medical data are transmitted between healthcare centres. Medical data sharing helps speed up patient treatment; consequently, exchanging healthcare data is the requirement of the present era. Since healthcare professionals share data through the internet, security remains a critical challenge, which needs to be addressed. During the COVID-19 pandemic, computed tomography (CT) and X-ray images play a vital part in the diagnosis process, constituting information that needs to be shared among hospitals. Encryption and image steganography techniques can be employed to achieve secure data transmission of COVID-19 images. This study presents a new encryption with the image steganography model for secure data transmission (EIS-SDT) for COVID-19 diagnosis. The EIS-SDT model uses a multilevel discrete wavelet transform for image decomposition and Manta Ray Foraging Optimization algorithm for optimal pixel selection. The EIS-SDT method uses a double logistic chaotic map (DLCM) is employed for secret image encryption. The application of the DLCM-based encryption procedure provides an additional level of security to the image steganography technique. An extensive simulation results analysis ensures the effective performance of the EIS-SDT model and the results are investigated under several evaluation parameters. The outcome indicates that the EIS-SDT model has outperformed the existing methods considerably.

• 한국한의학연구원논문집
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• 제17권2호
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• pp.115-120
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• 2011

Objectives : The purpose of this study is to develop an apparatus which can take a facial image by self-operated capturing technique. The user can obtain one's facial image immediately after adjusting facial tilt and focusing distance. The system has been designed for classifying Sasang typology based on facial image. Methods : The system is composed of a Webcam, one-way glass mirror and mini LCD. The Webcam takes a facial image which is displayed on the mini LCD. Then the user can see and adjust to the right position in the real time through the image mirror-reflected from the mini LCD. The optical sensor is used to estimate the proper focusing distance. To verify the performance of the system, 11 characteristic points on the facial image are used and compared with high performance DSLR camera(D700) by applying the coefficient of variance and Bland-Altman Plot. Results : The developed system and D700 show enough agreement with the small coefficient of variance to analyse constitutional types with a facial im mage. However, the result of Bland-Altman plot shows that the width parameters have distortions owing to short focusing distance. Conclusions : The system is expected to be utilized on u-healthcare services for home environment after improving the distortion in the width parameters.

• 대한방사선치료학회지
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• 제30권1_2호
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• pp.83-95
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• 2018

목 적 : 폐암의 호흡동조방사선치료(Respiratory Gated Radiotherapy, RGRT)계획수립 후 표적 주변에 위치하고 있는 정상장기의 경우에는 움직임과 용적변화가 고려되지 않은 상태에서 선량평가가 이루어지는 경우가 많다. 본 연구에서는 적응형방사선치료(Adaptive Radiotherapy, ART)에서 많이 사용되는 변형영상정합(Deformable Image Registration, DIR)을 이용하여 호흡동조방사선치료 시 특정 위상에서의 정상장기의 움직임을 반영한 4차원-선량평가를 진행하였으며, 3차원 선량평가와의 차이를 연구하였다. 또한, 폐암의 치료계획평가 시 환자 호흡에 따른 정상장기의 움직임과 용적변화에 대한 분석 및 고려가 필요한 지 알아보고자 한다. 대상 및 방법 : 호흡동조방사선치료를 받은 폐암 환자 10명을 대상으로 하였다. Eclipse(Ver 13.6 Varian, USA)로 최고 위상 CT영상에 그려진 구조물을 모든 위상영상에 Propagation($Eclipse^{TM}$)이나 Segmentation Wizard($Eclipse^{TM}$)의 메뉴로 동일하게 설정하였으며, Center-to-Center 방식으로 구조물의 움직임 및 용적을 분석하였다. 또한, 4차원 선량평가를 위해 VELOCITY 프로그램(VELOCITY Ver 4.0, Varian, USA)을 이용하여 각 위상의 영상과 선량분포를 최고 위상 CT영상에 변형하였으며, 선량을 합산하여 정상장기의 4차원 선량평가를 실시하고, 3차원 선량평가와 비교분석을 하였다. 또한, 4차원 선량분포의 검증을 위해 $QUASAR^{TM}$ Phantom(Modus Medical Devices)과 $GAFCHROMIC^{TM}$ EBT3 Film(Ashland, USA)을 사용하여 4차원 감마분석을 시행하였다. 결 과 : 들숨과 날숨 구간의 움직임은 우측 폐가 축 방향 $0.989{\pm}0.34cm$로 가장 컸으며, 척수가 측 방향 -0.001 cm로 가장 작았다. 30~70 % 구간의 움직임은 식도가 축 방향 $0.52{\pm}0.21cm$로 가장 컸으며, 척수가 전후방향 $0.013{\pm}0.01cm$로 가장 작았다. 용적은 우측 폐가 33.5 %로 가장 큰 변화율을 보였다. 3차원 선량평가와 4차원 선량평가에서의 PTV 선량균질지수(Conformity Index, CI) 값과 처방선량지수(Homogeneity Index, HI) 값의 차이는 각각 최대 0.076, 0.021, 최소 0.011, 0.0으로 평가되었다. 정상장기의 경우 4차원 선량평가에서 0.0045~2.76 % 차이를 보였다. 모든 환자의 4차원 감마통과율은 평균 $98.1{\pm}0.42%$로 확인되었고, 모두 기준 95 %를 통과하였다. 결 론 : 모든 환자의 PTV 선량균질지수 값은 4차원 선량평가 시 더 유의한 값임을 확인할 수 있었으며, 처방 선량지수는 두 선량평가에서 차이를 보이지 않았다. 호흡에 의한 움직임이 고려된 4차원 선량분포에서 PTV 경계부분이 채워져 3차원 선량분포에서보다 선량이 더욱 균질한 것을 확인할 수 있었다. 정상장기의 4차원 선량평가에서 0.004~2.76 % 차이가 있었으며, 척수를 제외한 모든 정상장기에서 두 평가방법의 차이유의를 확인할 수 있었다. 정상장기의 3차원 선량평가 시 과소평가가 이루어 질 수 있다는 사실을 본 연구를 통해 알 수 있었으며, 호흡에 의한 정상장기의 선량변화가 예상되는 경우 변형영상정합을 이용한 4차원 선량평가를 고려할 수 있을 것이다. 변형영상정합을 이용한 4차원 선량평가는 환자의 호흡에 의한 정상장기의 움직임과 용적 변화를 반영하는 조금 더 현실적인 선량평가방법이 될 것이라고 사료된다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2003년도 추계학술대회 논문집 Vol.16
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• pp.384-387
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• 2003

In this paper, the evaluation of image quality was performed for digital radiography which is developing in using amorphous selenium as a photoconductor material for the purpose of offering basic research data and measurement technique about Medical Imaging Quality. So Modulation Transfer Function as a main factor of imaging quality evaluation was investigated by slit method. For measurement of MTF, Nuclear associates. 07-624 Slit camera image was obtained to study the variation of MTF corresponding to changing spatial frequency. And Presampling MTF was estimated by slit camera image with $10\;{\mu}m$ width at Digital Radiography. In this study, the obtained data demonstrates that the clinical value of a direct conversion type digital radiation detector using the amorphous selenium, which is being developed by domestic technology.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2006년도 제33회 추계학술대회 발표논문집
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• pp.109-109
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• 2006

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 1999년도 Japanese Journal of Medical Physics
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• pp.266-267
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• 1999

• 한국인공지능학회지
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• 제5권1호
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• pp.10-17
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• 2017

This study is the first attempt to raise face recognition ability through machine learning algorithm and apply to CRM's information gathering, analysis and application. In other words, through face recognition of VIP customer in distribution field, we can proceed more prompt and subdivided customized services. The interest in machine learning, which is used to implement artificial intelligence, has increased, and it has become an age to automate it by using machine learning beyond the way that a person directly models an object recognition process. Among them, Deep Learning is evaluated as an advanced technology that shows amazing performance in various fields, and is applied to various fields of image recognition. Face recognition, which is widely used in real life, has been developed to recognize criminals' faces and catch criminals. In this study, two image analysis models, TF-SLIM and Inception-V3, which are likely to be used for criminal face recognition, were selected, analyzed, and implemented. As an evaluation criterion, the image recognition model was evaluated based on the accuracy of the face recognition program which is already being commercialized. In this experiment, it was evaluated that the recognition accuracy was good when the accuracy of the image classification was more than 90%. A limit of our study which is a way to raise face recognition is left as a further research subjects.

• 핵의학기술
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• 제13권1호
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• pp.30-34
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• 2009

목적 : 현재 신속한 검사 및 환자의 대기 시간 단축에 따른 제한적인 영향을 가지고 있는 whole body bone scan의 단점을 보완하기 위한 다양한 프로그램들이 개발되어 사용되고 있다. 본 연구는 스캔속도와 알파 값에 따른 FWHM를 이용하고 영상의 육안평가를 통해서 우수한 영상의 질을 얻을 수 있는 매개변수로 임상의 유용성을 얻고자 한다. 실험재료 및 방법 : Siemens (e.cam)사의 감마카메라에서 spatial resolution phantom과 four quadrant bar phantom을 이용하였다. spatial resolution phantom을 가지고 scatter와 non scatter로 Onco Flash를 적용해서 스캔속도 15, 20, 25, 30, 35, 40 cm/min으로 FWHM을 비교하였다. 또한 Onco Flash의 알파값 (0~100%)에서 10%씩 증가하여 스캔속도 30 cm/min 기준으로 계수율과 bar phantom 영상을 얻어 육안적 평가를 하였다. 결과 : Onco Flash를 적용한 scatter에서 스캔속도에 따라 FWHM은 9.37, 9.40, 9.28, 9.30, 9.31, 9.53 mm이고, non scatter에서는 스캔속도에 따라 FWHM은 8.42, 8.32, 8.2, 8.25, 8.35, 8.52 mm이었다. 알파 값은 10%씩 증가할수록 계수율도 증가하고, 육안적 평가는 40% 이상에서 인공물이 나타나기 시작하기 때문에 알파 값은 30% 이하에서 적합하였다. 따라서 Onco Flash를 사용한 스캔속도가 25~35 cm/min에서 알파값 30% 적용 시 FWHM이 평균 9.3 mm로서 15~40 cm/min를 벗어나는 값 보다 공간분해능이 향상되었다. 결론 : Whole body bone scan의 영상을 향상시킬 수 있는 적정 매개변수를 알 수 있었으며 검사 시간을 단축하면서 영상의 질을 향상 할 수 있도록 매개변수들을 적용해 보아 임상적용에 적합한 범위를 얻어 검사자에게 유용한 지표가 될 것이라 사료된다.