Automated detection system for pulmonary emphysema on 3D chest CT images

An automatic extraction of pulmonary emphysema area on 3-D chest CT images was performed using an adaptive thresholding technique. We proposed a method to estimate the ratio of the emphysema area to the whole lung volume. We employed 32 cases (15 normal and 17 abnormal) which had been already diagnosed by radiologists prior to the study. The ratio in all the normal cases was less than 0.02, and in abnormal cases, it ranged from 0.01 to 0.26. The effectiveness of our approach was confirmed through the results of the present study.

[1]  Hans Knutsson,et al.  Recognizing emphysema - a neural network approach , 2002, Object recognition supported by user interaction for service robots.