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Showing Abstract of A New Scheme for Evaluation of Air-Trapping in CT Images

 
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Title

A New Scheme for Evaluation of Air-Trapping in CT Images

Topic: Published Year: 1389
Presentation:
Published in:

[ 6th Iranian Conference on Machine Vision and Image Processing ]

Original Language: English Full Text Size: Not Available

 

Abstract of the Article

 

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Download This article in PDF format A New Scheme for Evaluation of Air-Trapping in CT Images

 

Authors:

[ 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

 

Abstract:

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

 

Keywords:

Air-Trapping, COPD, CT, Evaluation andStaging.

 

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