Lung CT registration combining intensity, curves and surfaces

Vladlena Gorbunova, Stanley Durrieman, Pechin Chien Pau Lo, Xavier Pennec, Marleen de Bruijne

14 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - 2010 7th IEEE International Symposium on Biomedical Imaging : from nano to macro
Number of pages4
PublisherIEEE
Publication date2010
Pages340-343
ISBN (Print)978-1-4244-4125-9
ISBN (Electronic)978-1-4244-4126-6
DOIs
Publication statusPublished - 2010
Event7th IEEE International Symposium on Biomedical Imaging: from nano to macro - Congress Center "De Doelen", Rotterdam, Netherlands
Duration: 14 Apr 201017 Apr 2010
Conference number: 7

Conference

Conference7th IEEE International Symposium on Biomedical Imaging
Number7
LocationCongress Center "De Doelen"
Country/TerritoryNetherlands
CityRotterdam
Period14/04/201017/04/2010

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