سال انتشار: ۱۳۸۹

محل انتشار: ششمین کنفرانس ماشین بینایی و پردازش تصویر

تعداد صفحات: ۴

نویسنده(ها):

M. Parsa Hosseini – Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran,Iran
Hamid Soltanian-Zadeh – Image Analysis Laboratory, Radiology Department, Henry Ford Health System, Detroit, MI, USA
Shahram Akhlaghpoor – Department of Radiology, Tehran University of Medical Science, Sina Hospital, Tehran, Iran
Alireza Behrad5 – Department of Electrical Engineering, Shahed University, Tehran, Iran

چکیده:

Air trapping is an abnormal retention of air that occurs after expiration state in the lungs, observed in all types of bronchiolar and obstructive lung diseases such as chronic obstructive pulmonary disease (COPD), asthma, and bronchiolitis obliterans syndrome. Air trapping is often incidentally diagnosed on computed tomography (CT) scanning but this method needs doctors so it is subjective and depends on their experience. In this paper, we present a novel method for evaluation of air trapping in the lungs for detection of COPD in CT images. The proposed method finds volumetric variations of the lungs from inspiration to expiration. To this end, trachea CT images at full inspiration and expiration are compared and the volumetric variations are used to classify the subjects. In the evaluated cases, the proposed method is able to estimate air trapping in the lungs from CT images without human intervention. This method may assist radiologists to measure and evaluate air trapping for detection of COPD as a computer aided diagnosis (CAD) system