Mass Preserving Registration for lung CT
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Mass Preserving Registration for lung CT. / Gorbunova, Vladlena; Lo, Pechin Chien Pau; Loeve, Martin; Tiddens, Harm; Sporring, Jon; Nielsen, Mads; de Bruijne, Marleen.
Proceedings of the SPIE: Medical Imaging 2009: Image Processing. Bind 7259 2009. (Proceedings of the SPIE, Bind 7259).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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TY - GEN
T1 - Mass Preserving Registration for lung CT
AU - Gorbunova, Vladlena
AU - Lo, Pechin Chien Pau
AU - Loeve, Martin
AU - Tiddens, Harm
AU - Sporring, Jon
AU - Nielsen, Mads
AU - de Bruijne, Marleen
PY - 2009
Y1 - 2009
N2 - In this paper, we evaluate a novel image registration method on a set of expiratory-inspiratory pairs of computed tomography (CT) lung scans. A free-form multi resolution image registration technique is used to match two scans of the same subject. To account for the differences in the lung intensities due to differences in inspiration level, we propose to adjust the intensity of lung tissue according to the local expansion or compression. An image registration method without intensity adjustment is compared to the proposed method. Both approaches are evaluated on a set of 10 pairs of expiration and inspiration CT scans of children with cystic fibrosis lung disease. The proposed method with mass preserving adjustment results in significantly better alignment of the vessel trees. Analysis of local volume change for regions with trapped air compared to normally ventilated regions revealed larger differences between these regions in the case of mass preserving image registration, indicating that mass preserving registration is better at capturing localized differences in lung deformation.
AB - In this paper, we evaluate a novel image registration method on a set of expiratory-inspiratory pairs of computed tomography (CT) lung scans. A free-form multi resolution image registration technique is used to match two scans of the same subject. To account for the differences in the lung intensities due to differences in inspiration level, we propose to adjust the intensity of lung tissue according to the local expansion or compression. An image registration method without intensity adjustment is compared to the proposed method. Both approaches are evaluated on a set of 10 pairs of expiration and inspiration CT scans of children with cystic fibrosis lung disease. The proposed method with mass preserving adjustment results in significantly better alignment of the vessel trees. Analysis of local volume change for regions with trapped air compared to normally ventilated regions revealed larger differences between these regions in the case of mass preserving image registration, indicating that mass preserving registration is better at capturing localized differences in lung deformation.
U2 - 10.1117/12.812504
DO - 10.1117/12.812504
M3 - Article in proceedings
SN - 9780819475107
VL - 7259
T3 - Proceedings of the SPIE
BT - Proceedings of the SPIE
Y2 - 7 February 2009 through 12 February 2009
ER -
ID: 9092139