|
KMID : 1141720220100020091
|
|
폐쇄성폐질환
2022 Volume.10 No. 2 p.91 ~ p.102
|
|
|
Traditional and Emerging AI-based Applications for Chronic Obstructive Pulmonary Disease on Chest CT
|
|
Park Hee-Jun
Kim Dong-Hun
|
|
|
Abstract
|
|
|
|
Chronic obstructive pulmonary disease (COPD) is a progressive dyspnea disease comprised of emphysema and chronic bronchitis. Although spirometry is a clinically confirmatory method, quantification on computed tomography (CT) is widely used for COPD assessment. CT images are used to visualize anatomical structures as well as quantification of COPD. For quantitative analysis of COPD, methods for analyzing emphysema and chronic bronchitis have been developed on CT. With computer algorithms, thresholdbased analysis for emphysema, small airway disease analysis using registration, and vessel alteration analysis accompanied with COPD are possible. In addition, the recent rapid development of artificial intelligence (AI) has made it possible to analyze COPD without human interaction by segmenting the lung organs. AI-based automatic analysis of COPD is now applied in the real clinical field aiding COPD diagnosis and evaluating drug responsiveness. Herein, we reviewed various analytic methods for COPD on CT images.
|
|
|
KEYWORD
|
|
|
COPD, Quantitative evaluation, Artificial intelligence
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|