Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Comparison of Blooming Artifact Reduction Using Image Segmentation Method in CT Image

CT영상에서 이미지 분할기법을 적용한 Blooming Artifact Reduction 비교 연구

  • Kim, Jung-Hun (School of Electronics Engineering, Kyungpook National University) ;
  • Park, Ji-Eun (Department of Biomedical Engineering, Kyungpook National University) ;
  • Park, Yu-Jin (Department of Biomedical Engineering, Kyungpook National University) ;
  • Ji, In-Hee (Department of Nursing, School of Medicine, Kyungpook National University) ;
  • Lee, Jong-Min (Department of Radiology, School of Medicine, Kyungpook National University) ;
  • Cho, Jin-Ho (School of Electronics Engineering, Kyungpook National University)
  • 김정훈 (경북대학교 대학원 전자공학부) ;
  • 박지은 (경북대학교 대학원 의용생체공학과) ;
  • 박유진 (경북대학교 대학원 의용생체공학과) ;
  • 지인희 (경북대학교 간호학과) ;
  • 이종민 (경북대학교 의학전문대학원 영상의학교실) ;
  • 조진호 (경북대학교 대학원 전자공학부)
  • Received : 2017.11.18
  • Accepted : 2017.11.29
  • Published : 2017.12.31
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Abstract

In this study, We subtracted the calcification blooming artifact from MDCT images of coronary atherosclerosis patients and verified their accuracy and usefulness. We performed coronary artery calcification stenosis phantom and a program to subtract calcification blooming artifact by applying 8 different image segmentation method (Otsu, Sobel, Prewitt, Canny, DoG, Region Growing, Gaussian+K-mean clustering, Otsu+DoG). As a result, In the coronary artery calcification stenosis phantom with the lumen region 5 mm the calcification blooming artifact was subtracted in the application of the mixture of Gaussian filtering and K- Clustering algorithm, and the value was close to the actual calcification region. These results may help to accurately diagnose coronary artery calcification stenosis.

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