Early detection of emphysema progression

Vladlena Gorbunova; Sander S. A. M. Jacobs; Pechin Chien Pau Lo; Asger Dirksen; Mads Nielsen; Alireza Bab-Hadiashar; Marleen de Bruijne

doi:10.1007/978-3-642-15745-5_24

Early detection of emphysema progression

Vladlena Gorbunova, Sander S. A. M. Jacobs, Pechin Chien Pau Lo, Asger Dirksen, Mads Nielsen, Alireza Bab-Hadiashar, Marleen de Bruijne

8 Citations (Scopus)

Abstract

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 (FEV ₁). 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.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010 : 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part II
Editors	Tianzi Jiang, Nassir Navab, Josien P. W. Pluim, Max A. Viergever
Number of pages	8
Volume	Part II
Publisher	Springer
Publication date	2010
Pages	193-200
ISBN (Print)	978-3-642-15744-8
ISBN (Electronic)	978-3-642-15745-5
DOIs	https://doi.org/10.1007/978-3-642-15745-5_24
Publication status	Published - 2010
Event	13th International Conference on Medical Image Computing and Computer Assisted Intervention - Beijing, China Duration: 20 Sept 2010 → 24 Sept 2010 Conference number: 13

Conference

Conference	13th International Conference on Medical Image Computing and Computer Assisted Intervention
Number	13
Country/Territory	China
City	Beijing
Period	20/09/2010 → 24/09/2010

Series	Lecture notes in computer science
Number	6362
ISSN	0302-9743

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Gorbunova, V., Jacobs, S. S. A. M., Lo, P. C. P., Dirksen, A., Nielsen, M., Bab-Hadiashar, A., & de Bruijne, M. (2010). Early detection of emphysema progression. In T. Jiang, N. Navab, J. P. W. Pluim, & M. A. Viergever (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part II (Vol. Part II, pp. 193-200). Springer. Lecture notes in computer science No. 6362 https://doi.org/10.1007/978-3-642-15745-5_24

Early detection of emphysema progression. / Gorbunova, Vladlena; Jacobs, Sander S. A. M.; Lo, Pechin Chien Pau et al.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part II. ed. / Tianzi Jiang; Nassir Navab; Josien P. W. Pluim; Max A. Viergever. Vol. Part II Springer, 2010. p. 193-200 (Lecture notes in computer science; No. 6362).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Gorbunova, V, Jacobs, SSAM, Lo, PCP, Dirksen, A, Nielsen, M, Bab-Hadiashar, A & de Bruijne, M 2010, Early detection of emphysema progression. in T Jiang, N Navab, JPW Pluim & MA Viergever (eds), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part II. vol. Part II, Springer, Lecture notes in computer science, no. 6362, pp. 193-200, 13th International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, China, 20/09/2010. https://doi.org/10.1007/978-3-642-15745-5_24

Gorbunova V, Jacobs SSAM, Lo PCP, Dirksen A, Nielsen M, Bab-Hadiashar A et al. Early detection of emphysema progression. In Jiang T, Navab N, Pluim JPW, Viergever MA, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part II. Vol. Part II. Springer. 2010. p. 193-200. (Lecture notes in computer science; No. 6362). doi: 10.1007/978-3-642-15745-5_24

Gorbunova, Vladlena ; Jacobs, Sander S. A. M. ; Lo, Pechin Chien Pau et al. / Early detection of emphysema progression. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part II. editor / Tianzi Jiang ; Nassir Navab ; Josien P. W. Pluim ; Max A. Viergever. Vol. Part II Springer, 2010. pp. 193-200 (Lecture notes in computer science; No. 6362).

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Early detection of emphysema progression

Abstract

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