Abstract
In this paper we propose a registration method that combinesintensity information with geometrical information inthe form of curves and surfaces derived from lung CT images.Vessel tree centerlines and lung surfaces were extractedfrom segmented structures. First, a current-based registrationwas applied to align the pulmonary vessel tree and the lungsurfaces. Subsequently, the resulting deformation field wasused to constrain an intensity-based registration method. Weapplied the combined registration on a set of image pairs, extractedat the end exhale and the end inhale phases of 4DCTscans. The proposed combined registration was comparedto intensity-based registration, using a set of manuallyselected landmarks. The proposed registration decreases themean and the standard deviation of the target registration errorsfor all 5 cases to on average 1:47 +/- 1:05 mm, compared tothe intensity-based registration without constraint 1:74 +/- 1:31mm.
Original language | English |
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Title of host publication | Proceedings - 2010 7th IEEE International Symposium on Biomedical Imaging : from nano to macro |
Number of pages | 4 |
Publisher | IEEE |
Publication date | 2010 |
Pages | 340-343 |
ISBN (Print) | 978-1-4244-4125-9 |
ISBN (Electronic) | 978-1-4244-4126-6 |
DOIs | |
Publication status | Published - 2010 |
Event | 7th IEEE International Symposium on Biomedical Imaging: from nano to macro - Congress Center "De Doelen", Rotterdam, Netherlands Duration: 14 Apr 2010 → 17 Apr 2010 Conference number: 7 |
Conference
Conference | 7th IEEE International Symposium on Biomedical Imaging |
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Number | 7 |
Location | Congress Center "De Doelen" |
Country/Territory | Netherlands |
City | Rotterdam |
Period | 14/04/2010 → 17/04/2010 |