Abstract
We describe an automated method for building a statistical model of the mouse hind limb from micro-CT data, based on articulated registration. The model was initialised by hand-labelling the constituent bones and joints of a single sample. A coarse alignment of the entire model mesh to a sample mesh was followed by consecutive registration of individual bones and their descendants down a hierarchy. Transformation parameters for subsequent bones were constrained to a subset of vertices within a frustum projecting from a terminal joint of an already registered parent bone. Samples were segmented and transformed into a common coordinate frame, and a statistical shape model was constructed. The results of ten registered samples are presented, with a mean registration error of less than 40 μm (~ 3 voxels) for all samples. The shape variation amongst the samples was extracted by PCA to create a statistical shape model. Registration of the model to three unseen normal samples gives rise to a mean registration error of 5.84 μm, in contrast to 27.18 μm for three unseen arthritic samples. This may suggest that pathological bone shape changes in models of RA are detectable as departures from the model statistics.
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
Buckley, C.D.: Science, medicine, and the future: Treatment of rheumatoid arthritis. Brit. Med. J. 315, 236–238 (1997)
Asquith, D.L., Miller, A.M., McInnes, I.B., Liew, F.Y.: Animal models of rheumatoid arthritis. Eur. J. Immunol. 39, 2040–2044 (2009)
Diarra, D., Stolina, M., Polzer, K., Zwerina, J., et al.: Dickkopf-1 is a master regulator of joint remodeling. Nat. Med. 13, 156–163 (2007)
Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J., et al.: Active shape models - their training and application. Comput. Vis. Image Und. 6, 38–59 (1995)
Yang, Y.: Shape modelling of bones: application to the primate shoulder. Ph.D thesis, Imperial College London, UK (2008)
Kainmueller, D., Lamecker, H., Zachow, S., Hege, H.C.: An articulated statistical shape model for accurate hip Joint Segmentation. In: IEEE EMB-M, pp. 6345–6351 (2009)
Saha, P.K., Liang, G., Elkins, J.M., Coimbra, A., Duong, L.T., Williams, D.S., Sonka, M.: A New Osteophyte Segmentation Algorithm using Partial Shape Model and its Applications to Rabbit Femur Anterior Cruciate Ligament Transection via Micro-CT Imaging. IEEE T. Bio-Med. Eng. 55, 2212–2227 (2011)
Monach, P.A., Mathis, D., Benoist, C.: The K/BxN Arthritis Model. Curr. Protoc. Immunol. 81, 15:22.1–15:22.12 (2008)
Garland, M., Heckbert, P.S.: Surface simplification using quadric error metrics. In: SIGGRAPH, pp. 209–216 (1997)
Baiker, M., Milles, J., Vossepoel, A.M., Que, I., Kaijzel, E.L., Lowik, C., Reiber, J.H.C., Dijkstra, J., Lelieveldt, B.P.F.: Fully automated whole-body registration in mice using an articulated skeleton atlas. In: IEEE ISBI: From Nano to Macro, pp. 728–731 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Brown, J.M., Naylor, A., Buckley, C., Filer, A., Claridge, E. (2014). 3D Articulated Registration of the Mouse Hind Limb for Bone Morphometric Analysis in Rheumatoid Arthritis. In: Ourselin, S., Modat, M. (eds) Biomedical Image Registration. WBIR 2014. Lecture Notes in Computer Science, vol 8545. Springer, Cham. https://doi.org/10.1007/978-3-319-08554-8_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-08554-8_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08553-1
Online ISBN: 978-3-319-08554-8
eBook Packages: Computer ScienceComputer Science (R0)