The Manufacture of Digital X-ray Devices and Implementation of Image Processing Algorithm

디지털 X-ray 장치 제작 및 영상 처리 알고리즘 구현

  • Kim, So-young (School of Electronics and Biomedical Engineering, Tongmyong University) ;
  • Park, Seung-woo (Research Institute of Radiological & Medical Sciences, Korea Institute of Radiological & Medical Sciences) ;
  • Lee, Dong-hoon (School of Electronics and Biomedical Engineering, Tongmyong University)
  • 김소영 (동명대학교 전자및의용공학부) ;
  • 박승우 (한국원자력의학원 방사선의학연구소) ;
  • 이동훈 (동명대학교 전자및의용공학부)
  • Received : 2020.12.18
  • Accepted : 2020.12.30
  • Published : 2020.12.31

Abstract

This study studied scoliosis, one of the most common modern diseases caused by lifestyle patterns of office workers sitting in front of computers all day and modern people who use smart phones frequently. Scoliosis is a typical complication that takes more than 80% of the nation's total population at least once. X-ray are used to test for these complications. X-ray, a non-destructive testing method that allows scoliosis to be easily performed and filmed in various areas such as the chest, abdomen and bone without contrast agents or other instruments. We uses NI DAQ to miniaturize digital X-ray imaging devices and image intensifier in self-shielding housing with Vision Assistant for drawing lines to the top and the bottom of the spine to acquire angles, i.e. curvature in real-time. In this way, the research was conducted to see scoliosis patients and their condition easily and to help rapid treatment for solving the problem of posture correction in modern people.

본 연구에서 하루 종일 컴퓨터 앞에 앉아 있는 직장인들과 스마트폰을 자주 사용하는 현대인들의 생활 패턴으로 인해 발생하는 대표적인 현대 질병인 척추측만증에 대해 연구했다. 척추측만증은 우리나라 전체 인구의 80% 이상이 한 번 이상 걸리는 전형적인 합병증이다. X-ray는 이러한 합병증을 검사하는 데 사용된다. 조영제나 다른 기구 없이도 흉부, 복부, 뼈 등 다양한 부위에서 척추측만증을 쉽게 수행하고 촬영할 수 있는 비파괴검사법 X-선 발생 장치와 NI DAQ를 이용해 디지털 X-선 영상 장치를 소형화하고, X-선 차폐함 안에 영상 증배관과 Vision Assistant를 활용해 X-선 영상을 획득해 척추 상하부에 선을 그려 실시간으로 각도, 즉 곡률 등을 측정한다. 이와 같이 척추측만증 환자의 상태를 쉽게 볼 수 있도록 돕고, 현대인의 자세교정 문제를 해결하고 신속한 치료를 돕기 위해 연구를 수행되었다.

Keywords

Acknowledgement

이 논문은 2019학년도 동명대학교 연구년 지원에 의하여 연구되었음.

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