Abstract
Validation of respiratory motion estimation is indispensable for a variety of clinical applications. For CT lung registration, current approaches employ manually defined landmark sets or contours and compute a target registration error (TRE) to quantify registration accuracy. Preferably, the landmark set is well-dispersed to reflect for lung anatomy with its varying degrees of stiffness. A recent comparison study, however, revealed that the TRE is not sufficient for functional lung analysis.
On the basis of a compressible CT phantom functional lung analysis is addressed. Non-plausible expansion patterns as they occur for CT lung data are analyzed. Motivated by the relation of Hounsfield value and local volume change, local stiffness is incorporated into registration such that an improved functional lung analysis is achieved.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
West, J., Fitzpatrick, J.M., Wang, M.Y., Dawant, B.M., Maurer Jr., C.R., et al.: Comparison and evaluation of retrospective intermodality brain image registration techniques. J. Comput. Assist. Tomogr. 21(4), 554–566 (1997)
Ding, K., Cao, K., Christensen, G.E., Hoffman, E.A., Reinhardt, J.M.: Registration-based regional lung mechanical analysis: retrospectively reconstructed dynamic imaging versus static breath-hold image acquisition. In: SPIE, vol. 7262, pp. 72620D–72620D–9 (2009)
Castillo, R., Castillo, E., Guerra, R., Johnson, V.E., McPhail, T., Garg, A.K., Guerrero, T.: A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets. Phys. Med. Biol. 54, 1849–1870 (2009)
Murphy, K., van Ginneken, B., Pluim, J.P.W., Klein, S., Staring, M.: Semi-automatic reference standard construction for quantitative evaluation of lung CT registration. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part II. LNCS, vol. 5242, pp. 1006–1013. Springer, Heidelberg (2008)
Kabus, S., Klinder, T., Murphy, K., van Ginneken, B., Lorenz, C., Pluim, J.P.W.: Evaluation of 4D-CT lung registration. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5761, pp. 747–754. Springer, Heidelberg (2009)
Reinhardt, J.M., Ding, K., Cao, K., Christensen, G.E., Hoffman, E.A., Bodas, S.V.: Registration-based estimates of local lung tissue expansion compared to xenon-CT measures of specific ventilation. Med. Image. Anal. 12(6), 752–763 (2008)
Guerrero, T., Sanders, K., Castillo, E., Zhang, Y., Bidaut, L., Pan, T., Komaki, R.: Dynamic ventilation imaging from four-dimensional computed tomography. Phys. Med. Biol. 51(4), 777–791 (2006)
Yamamoto, T., Kabus, S., von Berg, J., Lorenz, C., Keall, P.J.: The impact of four-dimensional computed tomography pulmonary ventilation imaging-based functional avoidance for lung cancer radiotherapy. In: IJROBP (accepted 2010)
Levitzky, M.G.: Pulmonary Physiology, 7th edn. McGraw-Hill, New York (2007)
Modersitzki, J.: Numerical methods for image registration. OUP, Oxford (2004)
Kabus, S., Franz, A., Fischer, B.: Variational image registration with local properties. In: Pluim, J.P.W., Likar, B., Gerritsen, F.A. (eds.) WBIR 2006. LNCS, vol. 4057, pp. 92–100. Springer, Heidelberg (2006)
Ruan, D., Fessler, J.A., Roberson, M., Balter, J., Kessler, M.: Nonrigid registration using regularization that accomodates local tissue rigidity. In: SPIE, vol. 6144, pp. 614412-1–614412-9 (2006)
Kabus, S., Franz, A., Fischer, B.: Spatially varying elasticity in image registration. Methods Inf. Med. 46(3), 287–291 (2007)
Yin, Y., Hoffman, E.A., Lin, C.-L.: Mass preserving nonrigid registration of CT lung images using cubic B-spline. Med. Phys. 36(9), 4213–4222 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kabus, S., Klinder, T., von Berg, J., Lorenz, C. (2010). Functional Non-rigid Registration Validation: A CT Phantom Study. In: Fischer, B., Dawant, B.M., Lorenz, C. (eds) Biomedical Image Registration. WBIR 2010. Lecture Notes in Computer Science, vol 6204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14366-3_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-14366-3_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14365-6
Online ISBN: 978-3-642-14366-3
eBook Packages: Computer ScienceComputer Science (R0)