Mass preserving registration for lung CT

Vladlena Gorbunova; Pechin Lo; Martine Loeve; Harm A. Tiddens; Jon Sporring; Mads Nielsen; Marleen de Bruijne

doi:10.1117/12.812504

27 March 2009 Mass preserving registration for lung CT

Vladlena Gorbunova, Pechin Lo, Martine Loeve, Harm A. Tiddens, Jon Sporring, Mads Nielsen, Marleen de Bruijne

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72592R (2009) https://doi.org/10.1117/12.812504
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

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.

Citation Download Citation

Vladlena Gorbunova, Pechin Lo, Martine Loeve, Harm A. Tiddens, Jon Sporring, Mads Nielsen, and Marleen de Bruijne "Mass preserving registration for lung CT", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72592R (27 March 2009); https://doi.org/10.1117/12.812504

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