Abstract | ||
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In this study, we quantitatively characterize lung airway remodeling caused by smoking-related emphysema and Chronic Obstructive Pulmonary Disease (COPD), in low-dose CT scans. To that end, we established three groups of individuals: subjects with COPD (n=35), subjects with emphysema (n=38) and healthy smokers (n=28). All individuals underwent a low-dose CT scan, and the images were analyzed as described next. First the lung airways were segmented using a fast marching method and labeled according to its generation. Along each airway segment, cross-section images were resampled orthogonal to the airway axis. Next, 128 rays were cast from the center of the airway lumen in each cross-section slice. Finally, we used an integral-based method to measure lumen radius, wall thickness, mean wall percentage and mean peak wall attenuation on every cast ray. Our analysis shows that both the mean global wall thickness and the lumen radius of the airways of both COPD and emphysema groups were significantly different from those of the healthy group. In addition, the wall thickness starts changing at the 3rd airway generation in COPD patients compared with emphysema patients, who suffer the first significant changes starting in the 2nd generation. In conclusion, it is shown that airway remodeling happens in individuals suffering from either COPD or emphysema, with some local difference between both groups, and that we are able to detect and accurately quantify this process using images of low-dose CT scans. |
Year | DOI | Venue |
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2012 | 10.1117/12.910901 | Proceedings of SPIE |
Keywords | Field | DocType |
lung,emphysema,chronic obstruction pulmonary disease,airway,quantitative analysis,low-dose computed tomography | Nuclear medicine,COPD,Computer vision,Lung,Lumen (unit),Artificial intelligence,Computed tomography,Airway,Medicine | Conference |
Volume | ISSN | Citations |
8315 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rina Dewi Rudyanto | 1 | 31 | 2.89 |
Mario Ceresa | 2 | 22 | 9.97 |
Arrate Muñoz-Barrutia | 3 | 123 | 20.02 |
Carlos Ortiz-de-Solorzano | 4 | 233 | 23.07 |