Title :
Severity analysis of pulmonary emphysema based on the comparison of expiratory and inspiratory states
Author :
Neda, Kazuaki ; Tanaka, Toshiyuki ; Shirahata, Toru ; Sugiura, Hiroaki
Author_Institution :
Sch. of Fundamental Sci. &, Keio Univ., Yokohama, Japan
Abstract :
Chronic smoking increases number of pulmonary emphysema patient. It is difficult to cure pulmonary emphysema, because alveoli are destroyed. So early detection is desired. Diagnostic imaging is one method to diagnose pulmonary emphysema which is possible to make early detection. In the conventional method, only inspiratory states are used for diagnoses. In this paper, we propose a diagnose method using both expiratory and inspiratory states. With the original features, we did discriminate analyses and succeed higher accuracy than conventional method.
Keywords :
diseases; feature extraction; lung; medical image processing; chronic smoking; destroyed alveoli; diagnostic imaging; discriminate analysis; expiratory state; inspiratory state; pulmonary emphysema; severity analysis; Classification algorithms; Computed tomography; Diseases; Feature extraction; Histograms; Lungs; Shape; Automated diagnosis; CT image; Emphysema;
Conference_Titel :
SICE Annual Conference 2010, Proceedings of
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7642-8