Automatic Delineation of Lung Parenchyma Based on Multilevel Thresholding and Gaussian Mixture Modelling
作者: S. Gopalakrishnan and A. Kandaswamy
刊名: CMES: Computer Modeling in Engineering & Sciences, 2018, Vol.114 (2), pp.141-152
来源数据库: Tech Science Press
DOI: 10.3970/cmes.2018.114.141
关键词: Lung parenchyma delineationThoracic computed tomographyMultilevel thresholdingGaussian mixture modelAdaptive Morphological Filtering.
原始语种摘要: Delineation of the lung parenchyma in the thoracic Computed Tomography (CT) is an important processing step for most of the pulmonary image analysis such as lung volume extraction, lung nodule detection and pulmonary vessel segmentation. An automatic method for accurate delineation of lung parenchyma in thoracic Computed Tomography images is presented in this paper. The proposed method involves a segmentation phase followed by a lung boundary correction technique. The tissues in the thoracic Computed Tomography can be represented by a number of Gaussians. We propose a histogram utilized Adaptive Multilevel Thresholding (AMT) for estimating the total number of Gaussians and their initial parameters. The parameters of Gaussian components are updated by Expectation Maximization (EM)...
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关键词翻译
关键词翻译
  • segmentation 分段
  • thresholding 阈值
  • segmented 分段[割]的
  • histogram 倾率分布图
  • automatic 自动的
  • accurate 精确的
  • processing 加工
  • parenchyma 柔组织
  • tomography 断层x 线摄影
  • proposed 建议的