• Journal of the Korean Society for Nondestructive Testing
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• v.20 no.6
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• pp.521-537
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• 2000

Ultrasonic imaging is the most widely used modality among modern imaging device for medical diagnosis and the system performance has been improved dramatically since early 90's due to the rapid advances in DSP performance and VLSI technology that made it possible to employ more sophisticated algorithms. This paper describes "main stream" digital signal processing functions along with the associated implementation considerations in modern medical ultrasound imaging systems. Topics covered include signal processing methods for resolution improvement, ultrasound imaging system architectures, roles and necessity of the applications of DSP and VLSI technology in the development of the medical ultrasound imaging systems, and array signal processing techniques for ultrasound focusing.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.06a
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• pp.185-188
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• 2001

의료 영상 처리 기술은 질병의 진단 및 치료를 위한 계획이나 방법을 결정하는데 있어 매우 중요한 역할을 하고 있다. 뇌 MR 영상에서의 질병 진단을 위한 전처리 단계로서 필수적으로 이루어져야 하는 단계가 영상 분할 단계이다. 본 논문에서는 뇌의 질병 진단에 사용할 수 있는 자료를 제공하기 위한 뇌 영상 분할 방법을 제시한다. T2 강조 영상의 반전된 영상에서 원본 영상을 뺀 차이 영상의 결과로 회백질·뇌척수액·비정상 영역이 두드러지게 나타나는 점을 이용해 회백질 뇌척수액·비정상 영역과 백질 영역을 분리하는 방법을 제안한다. 또한 뇌척수액 영역의 위치 정보와 몇 가지 특징들을 정의하여 분할되어진 회백질·뇌척수액· 비정상 영역에서 뇌척수액 영역만을 분할하는 방법을 제시한다. 600 여 개의 T2 강조 영상에 대해서 실험을 행하러 비교적 정확한 분할 결과를 유도할 수 있었음을 확인하였다.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.10
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• pp.239-246
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• 2020

In the medical field where artificial intelligence technology is introduced, research related to clinical decision support system(CDSS) in relation to diagnosis and prediction is actively being conducted. In particular, medical imaging-based disease diagnosis area applied AI technologies at various products. However, medical imaging data consists of inconsistent data, and it is a reality that it takes considerable time to prepare and use it for research. This paper describes a one-stop AI learning platform for converting to medical image standard R_CDM(Radiology Common Data Model) and supporting AI algorithm development research based on the dataset. To this, the focus is on linking with the existing CDM(common data model) and model the system, including the schema of the medical imaging standard model and report information for multi-center research based on DICOM(Digital Imaging and Communications in Medicine) tag information. And also, we show the execution results based on generated datasets through the AI learning platform. As a proposed platform, it is expected to be used for various image-based artificial intelligence researches.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.59-64
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• 2023

With the recent development of IT technology, medical image processing technology is also widely used in the dental field, and the treatment effect is enhanced by using 3D data such as CT. In this paper, open source libraries such as ITK and VTK are introduced to develop dental medical image processing software, and how to use them to develop dental medical image processing software centering on 3D CBCT. In ITK, basic algorithms for medical image processing are implemented, so the image processing pipeline can be quickly implemented, and the desired algorithm can be easily implemented as a filter by the developer. The developed algorithm is linked with VTK to implement the visualization function. The developed SW can be used for dental diagnosis and treatment that overcomes the limitations of 2D images..

• The KIPS Transactions:PartB
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• v.15B no.6
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• pp.553-560
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• 2008

The amount of image data used in medical institution is increasing rapidly with great development of medical technology. Therefore, an automation method that use image processing description, rather than manual macrography of doctors, is required for the analysis large medical data. Specially, medical image registration, which is the process of finding the spatial transform that maps points from one image to the corresponding points in another image, and 3D analysis and visualization skills for a series of 2D images are essential technologies. However, a high establishment cost raise a budget problem, and hence small scaled hospitals hesitate importing these medical visualizing system. In this paper, we propose a visualization system which allows user to manage datasets and manipulates medical images registration using an open source graphics tool - VTK(Visualization Tool Kit). The propose of our research is to get more accurate 3D diagnosis system in less expensive price, compared to existing systems.

• Korean Journal of Digital Imaging in Medicine
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• v.7 no.1
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• pp.39-44
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• 2005

Purpose of this research is that if Radiographer has focused on Radiation exposure research until now, he should realize that always exposed by Electro Magnetic Wave at given working environment And also, another purpose is that to minimize damage with measuring Electro Magnetic Wave which is happened area and distance of Radiation Control System and High Voltage Equipment, check occurrence rate and minimize damage from it.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05a
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• pp.595-598
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• 2003

본 논문에서는 방사선투영영상을 기존 압축방법인 JPEG 압축과 새로운 표준으로 채택중인 JPEG2000을 적용하여 압축율 및 영상의 품질을 비교 실험하였다. 기존의 의료영상압축 표준의 하나인 JPEG 압축은 압축비율이 높아짐에 따라 블륵킹 현상의 발생으로 원 영상이 회손되는 압축의 한계를 인식하고 있다. 따라서 원 영상의 보호와 압축율 증가의 두 가지 면을 만족시키기 위해 Wavelet 을 사용하는 JPEG2000을 실험 평가하여 의료영상압축에 적용하고자 한다. 실험대상으로 환자 10명 정상인 10명의 투영영상을 사용하였으며, 영상의 품질, 손상도 등을 평가하기 위해 PSNR( Peak Signal to Noise Ratio )과 판독의에 의한 ROC( Receiver Operating Characteristic )분석을 실행하였다. 실험결과, 영상의 품질, 손상도를 평가하기 위한 PSNR 은 15:1 압축에서 $46.05{\pm}1.1dB$의 값을 얻었으며, JPEG의 같은 압축비율에 비해 $1.78{\pm}0.1dB$의 값이 높음을 알 수 있었다. 종합적으로 3명의 판독의에 의해 ROC 분석을 실행한 결과 15:1의 압축비율에서 압축비율과 품질을 종합하였을 때 진단에 적합한 최적 압축비율임을 보였다.

• Journal of KIISE:Software and Applications
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• v.27 no.6
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• pp.651-659
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• 2000

It is very important to extract the heart region in the medical images. In this paper, we present the automatic heart region extraction in the EBT (electron beam tomography) images. We use contrast thresholding, anatomic knowledge, and mathematical morphology to extract the heart region. Using these results, we applied the active contour models (snakes) to search the exact region. We analyzed the experimental results by comparing the results with the results made by medical experts.

• Journal of radiological science and technology
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• v.38 no.4
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• pp.389-394
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• 2015

There is a progressive development in the medical imaging technology, especially of descriptive capability for anatomical structure of human body thanks to advancement of information technology and medical devices. But however maintenance of correct posture is essential for the medical imaging checkup on the shoulder joint requiring rotation of the upper limb due to the complexity of human body. In the cases of MRI examination, long duration and fixed posture are critical, as failure to comply with them leads to minimal possibility of reproducibility only with the efforts of the examiner and will of the patient. Thus, this study aimed to develop an auxiliary device that enables rotation of the upper limb as well as fixing it at quantitative angles for medical imaging examination capable of providing diagnostic values. An auxiliary device has been developed based on the results of precedent studies, by designing a 3D model with the CATIA software, an engineering application, and producing it with the 3D printer. The printer is Objet350 Connex from Stratasys, and acrylonitrile- butadiene-styrene(ABS) is used as the material of the device. Dimensions are $120{\times}150{\times}190mm$, with the inner diameter of the handle being 125.9 mm. The auxiliary device has 4 components including the body (outside), handle (inside), fixture terminal and the connection part. The body and handle have the gap of 2.1 mm for smooth rotation, while the 360 degree of scales have been etched on the handle so that the angle required for observation may be recorded per patient for traceability and dual examination.

• Proceedings of the Korean Vacuum Society Conference
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• 2011.08a
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• pp.349-349
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• 2011

탄소나노튜브의 전자방출 특성을 활용하면 저전압으로 냉전자를 빠른 스위칭 속도로 전자를 용이하게 제어가 가능하다. 이로 인한 고성능 엑스선 소스를 이용하여 의료영상진단과 보안검색 분야에서 많이 사용될 것으로 예상이 된다. 본 연구에서는 고성능 탄소나노튜브 기반 엑스선의 미소초점 형성을 위한 전자 방출 시뮬레이션을 실시하였다. 3극관(애노드, 게이트, 캐소드)에서 2개의 포커싱 전극을 추가한 5극선관의 전자방출 궤적에 대한 시뮬레이션을 진행하였다. 3극관을 구성하여 애노드와 게이트에 일정 전압을 정해준 후, 2개의 포커싱 전극의 전압, 포커싱 전극간의 거리, 그리고 포커싱 전극의 내부직경을 조절함으로써 애노드 상에서의 전자의 초점이 작아지는 것을 알 수 있었다. 마이크로 포커스 엑스레이 소스는 의료영상진단에 있어서 고해상도 의료기기로의 응용이 가능하다.