Lung CT registration combining intensity, curves and surfaces

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

doi:10.1109/ISBI.2010.5490341

Lung CT registration combining intensity, curves and surfaces

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

Datalogisk Institut

14 Citationer (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.

Originalsprog	Engelsk
Titel	Proceedings - 2010 7th IEEE International Symposium on Biomedical Imaging : from nano to macro
Antal sider	4
Forlag	IEEE
Publikationsdato	2010
Sider	340-343
ISBN (Trykt)	978-1-4244-4125-9
ISBN (Elektronisk)	978-1-4244-4126-6
DOI	https://doi.org/10.1109/ISBI.2010.5490341
Status	Udgivet - 2010
Begivenhed	7th IEEE International Symposium on Biomedical Imaging: from nano to macro - Congress Center "De Doelen", Rotterdam, Holland Varighed: 14 apr. 2010 → 17 apr. 2010 Konferencens nummer: 7

Konference

Konference	7th IEEE International Symposium on Biomedical Imaging
Nummer	7
Lokation	Congress Center "De Doelen"
Land/Område	Holland
By	Rotterdam
Periode	14/04/2010 → 17/04/2010

Adgang til dokumentet

10.1109/ISBI.2010.5490341

Citationsformater

Gorbunova, V, Durrieman, S, Lo, PCP, Pennec, X & de Bruijne, M 2010, Lung CT registration combining intensity, curves and surfaces. i Proceedings - 2010 7th IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE, s. 340-343, 7th IEEE International Symposium on Biomedical Imaging, Rotterdam, Holland, 14/04/2010. https://doi.org/10.1109/ISBI.2010.5490341

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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.",

author = "Vladlena Gorbunova and Stanley Durrieman and Lo, {Pechin Chien Pau} and Xavier Pennec and {de Bruijne}, Marleen",

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T1 - Lung CT registration combining intensity, curves and surfaces

AU - Gorbunova, Vladlena

AU - Durrieman, Stanley

AU - Lo, Pechin Chien Pau

AU - Pennec, Xavier

AU - de Bruijne, Marleen

N1 - Conference code: 7

PY - 2010

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N2 - 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.

AB - 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.

U2 - 10.1109/ISBI.2010.5490341

DO - 10.1109/ISBI.2010.5490341

M3 - Article in proceedings

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