Abstract
We present an automated image-to-mesh workflow that meshes the cortical surfaces of the human femur, from clinical CT images. A piecewise parametric mesh of the femoral surface is customized to the in-image femoral surface by an active shape model. Then, by using this mesh as a first approximation, we segment cortical surfaces via a model of cortical morphology and imaging characteristics. The mesh is then customized further to represent the segmented inner and outer cortical surfaces. We validate the accuracy of the resulting meshes against an established semi-automated method. Root mean square error for the inner and outer cortical meshes were 0.74 mm and 0.89 mm, respectively. Mean mesh thickness absolute error was 0.03 mm with a standard deviation of 0.60 mm. The proposed method produces meshes that are correspondent across subjects, making it suitable for automatic collection of cortical geometry for statistical shape analysis.
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References
Bertelsen, P., Clement, J., Thomas, C.: A morphometric study of the cortex of the human femur from early childhood to advanced old age. Forensic Science international 74(1-2), 63–77 (1995)
Bradley, C., Pullan, A., Hunter, P.: Geometric Modeling of the Human Torso Using Cubic Hermite Elements. Biomedical Engineering Society 25, 96–111 (1997)
Cootes, T., Taylor, C., Cooper, D., Graham, J., et al.: Active shape models-their training and application. Computer Vision and Image Understanding 61(1), 38–59 (1995)
Dougherty, G., Newman, D.: Measurement of thickness and density of thin structures by computed tomography: a simulation study. Medical Physics 26, 1341 (1999)
Goodall, C.: Procrustes methods in the statistical analysis of shape. Journal of the Royal Statistical Society. Series B (Methodological) 53(2), 285–339 (1991)
Heimann, T., Meinzer, H.P.: Statistical shape models for 3D medical image segmentation: a review. Med. Image Anal. 13(4), 543–563 (2009)
Holzer, G., Von Skrbensky, G., Holzer, L., Pichl, W.: Hip fractures and the contribution of cortical versus trabecular bone to femoral neck strength. Journal of Bone and Mineral Research 24(3), 468–474 (2009)
Jolliffe, I.: Principal component analysis, vol. 2. Wiley Online Library (2002)
Looker, A.C., Beck, T.J., Orwoll, E.S.: Does body size account for gender differences in femur bone density and geometry? J. Bone Miner. Res. 16(7), 1291–1299 (2001)
Mayhew, P., Thomas, C., Clement, J., Loveridge, N., Beck, T., Bonfield, W., Burgoyne, C., Reeve, J.: Relation between age, femoral neck cortical stability, and hip fracture risk. The Lancet 366(9480), 129–135 (2005)
Peacock, M., Buckwalter, K.A., Persohn, S., Hangartner, T.N., Econs, M.J., Hui, S.: Race and sex differences in bone mineral density and geometry at the femur. Bone 45(2), 218–225 (2009)
Pulkkinen, P., Partanen, J., Jalovaara, P., Jamsa, T.: Combination of bone mineral density and upper femur geometry improves the prediction of hip fracture. Osteoporos Int. 15(4), 274–280 (2004)
Sederberg, T., Parry, S.: Free-form deformation of solid geometric models. ACM Siggraph Computer Graphics 20(4), 151–160 (1986)
Treece, G.M., Gee, A.H., Mayhew, P.M., Poole, K.E.: High resolution cortical bone thickness measurement from clinical CT data. Med. Image Anal. 14(3), 276–290 (2010)
Zdero, R., Bougherara, H., Dubov, A., Shah, S., Zalzal, P., Mahfud, A., Schemitsch, E.: The effect of cortex thickness on intact femur biomechanics: a comparison of finite element analysis with synthetic femurs. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 224(7), 831–840 (2010)
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Zhang, J., Malcolm, D., Hislop-Jambrich, J., Thomas, C.D.L., Nielsen, P. (2012). Automatic Meshing of Femur Cortical Surfaces from Clinical CT Images. In: Levine, J.A., Paulsen, R.R., Zhang, Y. (eds) Mesh Processing in Medical Image Analysis 2012. MeshMed 2012. Lecture Notes in Computer Science, vol 7599. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33463-4_5
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DOI: https://doi.org/10.1007/978-3-642-33463-4_5
Publisher Name: Springer, Berlin, Heidelberg
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