[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).

CONCLUSION:

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: Bing-yong Sheng, Ling Mao, Shao-wei Zhou, Jin Shi
• Journal: Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases (Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi) Vol. 31 Issue 11 Pg. 825-9 (Nov 2013) ISSN: 1001-9391 [Print] China
• PMID: 24370291 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Topics

• Humans
• Image Processing, Computer-Assisted (methods)
• Pneumoconiosis (diagnostic imaging)
• Radiographic Image Enhancement (standards)
• X-Ray Film