COMPUTER- AIDED DIAGNOSIS SYSTEM FOR THE EVALUATION OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE ON CT IMAGES

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HOSSEINI MOHAMMAD PARSA; SOLTANIAN ZADEH HAMID; AKHLAGHPOOR SHAHRAM

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Journal: TEHRAN UNIVERSITY MEDICAL JOURNAL (TUMJ) Year:2011 | Volume:68 | Issue:12 Page(s): 718-724

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Title

COMPUTER- AIDED DIAGNOSIS SYSTEM FOR THE EVALUATION OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE ON CT IMAGES

Author(s)

HOSSEINI MOHAMMAD PARSA | SOLTANIAN ZADEH HAMID | AKHLAGHPOOR SHAHRAM | Issue Writer Certificate

Keywords

CHRONIC OBSTRUCTIVE PULMONARY DISEASEQ3

COPDQ3

COMPUTER-AIDED DESIGNQ3

CADQ3

COMPUTED TOMOGRAPHYQ3

Abstract

Background: CHRONIC OBSTRUCTIVE PULMONARY DISEASE (COPD) is one of the most prevalent pulmonary diseases. Use of an automatic system for the detection and diagnosis of the disease will be beneficial to the patients’ treatment decision-making process. In this paper, we propose a new approach for the Computer Aided Diagnosis (CAD) of the disease and determination of its severity axial CT scan images.Methods: In this study, 24 lung CT scans in full inspiratory and expiratory states were performed. Variations in the normalized pattern of the lungs' external parenchyma were exploited as a feature for COPD diagnosis. Subsequently, a Bayesian classifier was used to classify variations into two normal and abnormal patterns for the discrimination of patients and healthy individuals. Finally, the accuracy of the classification was assessed statistically.Results: With the proposed method, the lungs parenchymal elasticity and air-trapping were determined quantitatively. The more this feature tended to zero, the more severe air-trapping and obstructive pulmonary disease is. By analyzing CT images in the healthy and patient groups, we calculated the hard threshold for the diagnosis of the disease. Clinical results tested by the mentioned method, suggested the effectiveness of this approach.Conclusion: In regard to the challenges of COPD diagnosis, we propose a new COMPUTER-AIDED DESIGN which may be helpful to physicians for a more accurate diagnosis of the disease. Moreover, this severity scoring algorithm may be useful for targeted disease management and risk-adjustment.

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APA: Copy

HOSSEINI, MOHAMMAD PARSA, SOLTANIAN ZADEH, HAMID, & AKHLAGHPOOR, SHAHRAM. (2011). COMPUTER- AIDED DIAGNOSIS SYSTEM FOR THE EVALUATION OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE ON CT IMAGES. TEHRAN UNIVERSITY MEDICAL JOURNAL (TUMJ), 68(12), 718-724. SID. https://sid.ir/paper/38176/en

Vancouver: Copy

HOSSEINI MOHAMMAD PARSA, SOLTANIAN ZADEH HAMID, AKHLAGHPOOR SHAHRAM. COMPUTER- AIDED DIAGNOSIS SYSTEM FOR THE EVALUATION OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE ON CT IMAGES. TEHRAN UNIVERSITY MEDICAL JOURNAL (TUMJ)[Internet]. 2011;68(12):718-724. Available from: https://sid.ir/paper/38176/en

IEEE: Copy

MOHAMMAD PARSA HOSSEINI, HAMID SOLTANIAN ZADEH, and SHAHRAM AKHLAGHPOOR, “COMPUTER- AIDED DIAGNOSIS SYSTEM FOR THE EVALUATION OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE ON CT IMAGES,” TEHRAN UNIVERSITY MEDICAL JOURNAL (TUMJ), vol. 68, no. 12, pp. 718–724, 2011, [Online]. Available: https://sid.ir/paper/38176/en

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