title: [Optimization of digital chest radiography image post-processing in diagnosis of pneumoconiosis].
abstract: OBJECTIVE
  To establish the optimal image post-processing parameters for digital chest radiography as preliminary research for introducing digital radiography (DR) to pneumoconiosis diagnosis in China.
  
  
  METHODS
  A total of 204 pneumoconiosis patients and 31 dust-exposed workers were enrolled as the subjects in this research. Film-screen radiography (FSR) and DR images were taken for all subjects. DR films were printed after raw images were processed and parameters were altered using DR workstation (GE Healthcare, U.S.A.). Image gradations, lung textures, and the imaging of thoracic vertebra were evaluated by pneumoconiosis experts, and the optimal post-processing parameters were selected. Optical density was measured for both DR films and FSR films.
  
  
  RESULTS
  For the DR machine used in this research, the contrast adjustment (CA) and brightness adjustment (BA) were the main parameters that determine the brightness and gray levels of images. The optimal ranges for CA and BA were 115%∼120% and 160%∼165%, respectively. The quality of DR chest films would be optimized when tissue contrast was adjusted to a maximum of 0.15, edge to a minimum of 1, and both noise reduction and tissue equalization to0.The failure rate of chest DR (0.4%) was significantly lower than that of chest FSR (17%) (P < 0.05).
  
  
  CONCLUSIONS
  After appropriate image post-processing on DR machine purchased from GE Healthcare, the DR chest films can meet all requirements for the quality of chest X-ray films in the Chinese diagnostic criteria for pneumoconiosis.
authors.affiliation: Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.
authors.forename: Bing-yong
authors.initials: BY
authors.lastname: Sheng
authors.affiliation: Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China. E-mail: maoling113@sina.com.
authors.forename: Ling
authors.initials: L
authors.lastname: Mao
authors.affiliation: Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.
authors.forename: Shao-wei
authors.initials: SW
authors.lastname: Zhou
authors.affiliation: Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.
authors.forename: Jin
authors.initials: J
authors.lastname: Shi
mesh_terms: D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D011009:Pneumoconiosis / Q000000981:diagnostic imaging*; D011856:Radiographic Image Enhancement / Q000592:standards*; D014962:X-Ray Film