Image dissimilarity-based quantification of lung disease from CT

Lauge Sørensen; Marco Loog; Pechin Lo; Haseem Ashraf; Asger Dirksen; Robert P.W. Duin; Marleen De Bruijne

doi:10.1007/978-3-642-15705-9_5

Image dissimilarity-based quantification of lung disease from CT

Lauge Sørensen^*, Marco Loog, Pechin Lo, Haseem Ashraf, Asger Dirksen, Robert P.W. Duin, Marleen De Bruijne

^*Corresponding author for this work

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

21 Citations (Scopus)

Abstract

In this paper, we propose to classify medical images using dissimilarities computed between collections of regions of interest. The images are mapped into a dissimilarity space using an image dissimilarity measure, and a standard vector space-based classifier is applied in this space. The classification output of this approach can be used in computer aided-diagnosis problems where the goal is to detect the presence of abnormal regions or to quantify the extent or severity of abnormalities in these regions. The proposed approach is applied to quantify chronic obstructive pulmonary disease in computed tomography (CT) images, achieving an area under the receiver operating characteristic curve of 0.817. This is significantly better compared to combining individual region classifications into an overall image classification, and compared to common computerized quantitative measures in pulmonary CT.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings
Pages	37-44
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-15705-9_5
Publication status	Published - 2010
Event	13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010 - Beijing, China Duration: 20 Sept 2010 → 24 Sept 2010

Publication series

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6361 LNCS
ISSN	0302-9743

Conference

Conference	13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010
Country/Territory	China
City	Beijing
Period	20/09/10 → 24/09/10

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10.1007/978-3-642-15705-9_5

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Sørensen, Lauge ; Loog, Marco ; Lo, Pechin et al. / Image dissimilarity-based quantification of lung disease from CT. Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings. PART 1. ed. 2010. pp. 37-44 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); No. PART 1, Vol. 6361 LNCS).

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Sørensen, L, Loog, M, Lo, P, Ashraf, H, Dirksen, A, Duin, RPW & De Bruijne, M 2010, Image dissimilarity-based quantification of lung disease from CT. in Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6361 LNCS, pp. 37-44, 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010, Beijing, China, 20/09/10. https://doi.org/10.1007/978-3-642-15705-9_5

Image dissimilarity-based quantification of lung disease from CT. / Sørensen, Lauge; Loog, Marco; Lo, Pechin et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings. PART 1. ed. 2010. p. 37-44 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); No. PART 1, Vol. 6361 LNCS).

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

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Sørensen L, Loog M, Lo P, Ashraf H, Dirksen A, Duin RPW et al. Image dissimilarity-based quantification of lung disease from CT. In Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings. PART 1 ed. 2010. p. 37-44. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); No. PART 1, Vol. 6361 LNCS). doi: 10.1007/978-3-642-15705-9_5

Image dissimilarity-based quantification of lung disease from CT

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