Improved Lung and Pulmonary Vessels Segmentation and Numerical Algorithms of Necrosis Cell Ratio in Lung CT Image

흉부 CT 영상에서 개선된 폐 및 폐혈관 분할과 괴사 세포 비율의 수치적 알고리즘

  • Cho, Joon-Ho (Department of Electronics Convergence Engineering, Wonkwang University) ;
  • Moon, Sung-Ryong (Department of Electronic Engineering, Wonkwang University)
  • 조준호 (원광대학교 전자융합공학과) ;
  • 문성룡 (원광대학교 전자공학과)
  • Received : 2017.12.04
  • Accepted : 2018.02.20
  • Published : 2018.02.28


We proposed a numerical calculation of the proportion of necrotic cells in pulmonary segmentation, pulmonary vessel segmentation lung disease site for diagnosis of lung disease from chest CT images. The first step is to separate the lungs and bronchi by applying a three-dimensional labeling technique from a chest CT image and a three-dimensional region growing method. The second step is to divide the pulmonary vessels by applying the rate of change using the first order polynomial regression, perform noise reduction, and divide the final pulmonary vessels. The third step is to find a disease prediction factor in a two-step image and calculate the proportion of necrotic cells.


Lung;Necrosis Cell;Region Growing Method;Rolling Ball Algorithm;Vessel


Supported by : Wonkwnag University


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