Early Detection of Emphysema Progression
Emphysema is one of the most widespread diseases in subjects with smoking history. The gold standard method for estimating the severity of emphysema is a lung function test, such as forced expiratory volume in first second (FEV1). However, several clinical studies showed that chest CT scans offer more sensitive estimates of emphysema progression. The standard CT densitometric score of emphysema is the relative area of voxels below a threshold (RA). The RA score is a global measurement and reflects the overall emphysema progression. In this work, we propose a framework for estimation of local emphysema progression from longitudinal chest CT scans. First, images are registered to a common system of coordinates and then local image dissimilarities are computed in corresponding anatomical locations. Finally, the obtained dissimilarity representation is converted into a single emphysema progression score. We applied the proposed algorithm on 27 patients with severe emphysema with CT scans acquired five time points, at baseline, after 3, after 12, after 21 and after 24 or 30 months. The results showed consistent emphysema progression with time and the overall progression score correlates significantly with the increase in RA score.
Vladlena Gorbunova Sander S.A.M.Jacobs Pechin Lo Asger Dirksen Mads Nielsen Alireza Bab-Hadiashar Marleen de Bruijne
Department of Computer Science, University of Copenhagen, Denmark Department of Biomedical Engineering, Eindhoven University of Technology,The Netherlands Department of Respiratory Medicine, Gentofte University Hospital, Denmark Department of Computer Science, University of Copenhagen, Denmark Nordic Bioscience A/S, Herlev, Den Swinburne University of Technology, Hawthorn, Australia Department of Computer Science, University of Copenhagen, Denmark Biomedical Imaging Group Rotterdam
国际会议
北京
英文
193-200
2010-09-01（万方平台首次上网日期，不代表论文的发表时间）