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Background: Chronic obstructive pulmonary disease (COPD) is one of the mostprevalent and dangerous pulmonary diseases in the world. It is forecasted thatCOPD will be the third deadly disease in the future. Therefore, developingnon-invasive methods for diagnosis of the disease would be helpful forphysicians and patients.  Methods: Based on clinical investigations and spirometry tests, ten adultpatients with COPD (6 male and 4 female) with mean age of 49.8 years wereenrolled as the case group. In addition, ten age and sex-matched healthy,non-COPD individuals (6 male and 4 female) with mean age of 45.4 years wererecruited as the controls. Lung CT-scan images of the subjects were processedand analyzed by a computer to find a relationship.  Findings: The elasticity of lung parenchyma variation was obtained withdigital image processing. The normalized average of this pattern was found tobe 21.6% in patients and 40.7% in controls. In addition, normalized mean valueof Hounsfield unit variations in square 10 pixel * 10 pixel windows in theexpiratory images were calculated as a parameter of air-trapping in COPD.Differences between the groups were shown by student t-test (P < 0.05).  Conclusion: This study showed that the variation of lung parenchymaelasticity and Hounsfield units are found by processing and analysis of thefull inspiration and expiration images. These factors can be used as criteriain diagnosis of COPD. Moreover, the severity of the disease can be presented bythe proposed method.  Keywords: Air-trapping, Chronic obstructive pulmonary disease, Imageprocessing and analysis, CT-scan lung images

Computerized Processing and Analysis of CT Images for Developing a New Criterion in COPD Diagnosis