Abstract
Non-rigid registration accuracy assessment is typically performed by evaluating the target registration error at manually placed landmarks. For 4D-CT lung data, we compare two sets of landmark distributions: a smaller set primarily defined on vessel bifurcations as commonly described in the literature and a larger set being well-distributed throughout the lung volume. For six different registration schemes (three in-house schemes and three schemes frequently used by the community) the landmark error is evaluated and found to depend significantly on the distribution of the landmarks. In particular, lung regions near to the pleura show a target registration error three times larger than near-mediastinal regions. While the inter-method variability on the landmark positions is rather small, the methods show discriminating differences with respect to consistency and local volume change. In conclusion, both a well-distributed set of landmarks and a deformation vector field analysis are necessary for reliable non-rigid registration accuracy assessment.
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References
Brock, K.K.: On Behalf of the Deformable Registration Accuracy Consortium: A Multi-Institution Deformable Registration Accuracy Study. In: I. J. Radiation Oncology, ASTRO 2007, vol. 69, p. S44 (2007)
Vik, T., Kabus, S., von Berg, J., Ens, K., Dries, S., Klinder, T., Lorenz, C.: Validation and comparison of registration methods for free-breathing 4D lung CT. In: Proc. of SPIE Medical Imaging, vol. 6914, 69142P–1–69142P–10 (2008)
Christensen, G.E., Geng, X., Kuhl, J.G., Bruss, J., Grabowski, T.J., Pirwani, I.A., Vannier, M.W., Allen, J.S., Damasio, H.: Introduction to the non-rigid image registration evaluation project (NIREP). In: Pluim, J.P.W., Likar, B., Gerritsen, F.A. (eds.) WBIR 2006. LNCS, vol. 4057, pp. 128–135. Springer, Heidelberg (2006)
Vandemeulebroucke, J., Sarrut, D., Clarysse, P.: The POPI-model, a point-validated pixel-based breathing thorax model. In: Proc. of ICCR (2007)
Sarrut, D., Boldea, V., Miguet, S., Ginestet, C.: Simulation of 4D CT images from deformable registration between inhale and exhale breath-hold CT. Med. Phys. 33(3), 605–617 (2006)
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)
von Berg, J., Barschdorf, H., Blaffert, T., Kabus, S., Lorenz, C.: Surface based cardiac and respiratory motion extraction for pulmonary structures from multi-phase CT. In: Proc. of SPIE Medical Imaging, vol. 6511, 65110Y (2007)
Delhay, B., Clarysse, P., Pera, C., Magnin, I.E.: A spatio-temporal deformation model for dense motion estimation in periodic cardiac image sequences. In: Proc. of the workshop From Statistical Atlases to Personalized Models: Understanding Complex Diseases in Populations and Individuals, MICCAI, pp. 87–90 (2006)
Klein, S., Staring, M., Pluim, J.P.W.: Evaluation of optimization methods for non-rigid medical image registration using mutual information and B-splines. IEEE Trans. Image Proc. 16(12), 2879–2890 (2007)
Glocker, B., Komodakis, N., Tziritas, G., Navab, N., Paragios, N.: Dense image registration through MRFs and efficient linear programming. Med. Image Analysis 12(6), 731–741 (2008)
Kabus, S., von Berg, J., Yamamoto, T., Opfer, R., Keall, P.J.: Lung ventilation estimation based on 4D-CT imaging. In: Proc. of the first international workshop on pulmonary image analysis, MICCAI, pp. 73–82 (2008)
Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L.G., Leach, M.O., Hawkes, D.J.: Nonrigid registration using free-form deformations: Application to breast MR images. IEEE Trans. Med. Imaging 18(8), 712–721 (1999)
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Kabus, S., Klinder, T., Murphy, K., van Ginneken, B., Lorenz, C., Pluim, J.P.W. (2009). Evaluation of 4D-CT Lung Registration. In: Yang, GZ., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. MICCAI 2009. Lecture Notes in Computer Science, vol 5761. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04268-3_92
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DOI: https://doi.org/10.1007/978-3-642-04268-3_92
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