Abstract
3D shape modeling is a crucial component of rapid prototyping systems that customize shapes of implants and prosthetic devices to a patient’s anatomy. In this paper, we present a solution to the problem of customized 3D shape modeling using a statistical shape analysis framework. We design a novel method to learn the relationship between two classes of shapes, which are related by certain operations or transformation. The two associated shape classes are represented in a lower dimensional manifold, and the reduced set of parameters obtained in this subspace is utilized in an estimation, which is exemplified by a multivariate regression in this paper. We demonstrate our method with a felicitous application to estimation of customized hearing aid devices.
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Hertzmann, A., Jacobs, C., Oliver, N., Curless, B., Salesin, D.: Image analogies. In: SIGGRAPH Conference Proceedings (2001)
Cootes, T., Taylor, C., Cooper, D., Graham, J.: Active shape models - their training and application. Computer Vision and Image Understanding 61(1), 38–59 (1995)
Paulsen, R., Larsen, R., Nielsen, C., Laugesen, S., Ersboll, B.: Building and testing a statistical shape model of the human ear canal. In: Dohi, T., Kikinis, R. (eds.) MICCAI 2002. LNCS, vol. 2489, pp. 373–380. Springer, Heidelberg (2002)
Paulsen, R.R., Hilger, K.B.: Shape modelling using markov random field restoration of point correspondences. In: Taylor, C.J., Noble, J.A. (eds.) IPMI 2003. LNCS, vol. 2732, pp. 1–12. Springer, Heidelberg (2003)
Darkner, S., Larsen, R., Paulsen, R.: Analysis of deformation of the human ear and canal caused by mandibular movement. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 801–808. Springer, Heidelberg (2007)
Leventon, M., Grimson, W., Faugeras, O.: Statistical shape influence in geodesic active contours. In: IEEE CVPR, Hilton Head, vol. 1 (2000)
Rathi, Y., Dambreville, S., Tannenbaum, A.: Statistical shape analysis using kernel pca. In: IS&T, SPIE Symposium on Electronic Imaging (2006)
Aguirre, M., Linguraru, M., Marias, K., Ayache, N., Nolte, L.P., Ballester, M.: Statistical shape analysis via principal factor analysis. In: IEEE Int. Symp. Biomedical Imaging (2007)
Rao, A., Aljabar, P., Rueckert, D.: Hierarchical statistical shape analysis and prediction of sub-cortical brain structures. Medical Image Analysis 12 (2008)
Zhou, K., Comaniciu, D.: Shape regression machine. In: Karssemeijer, N., Lelieveldt, B. (eds.) IPMI 2007. LNCS, vol. 4584, pp. 13–25. Springer, Heidelberg (2007)
Davis, B., Fletcher, P., Bullitt, E., Joshi, S.: Populations shape regression from random design data. In: IEEE Int. Conf. Computer Vision (2007)
NIH-NICD: National institute on deafness and other commnunication disorders: Hearing aids information, http://www.nidcd.nih.gov/health/hearing/hearingaid.asp
Gray, H.: Gray’s anatomy of the human body (1918), www.bartleby.com/107/
Paragios, N., Rousson, M., Ramesh, V.: Distance tranforms for non-rigid registation. Computer Vision and Image Understanding (CVIU) 89(2-3), 142–165 (2003)
Press, W.H., Teukolsky, S.A., Vetterling, W., Flannery, B.P.: Numerical Recipes in C. Cambridge University Press, Cambridge (1992)
Whitaker, R.T., Breen, D.E.: Level-set models for the deformation of solid objects. In: Eurographics/Siggraph, Proceedings of Implicit Surfaces, pp. 19–35 (1998)
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Unal, G., Nain, D., Slabaugh, G., Fang, T. (2008). Customized Design of Hearing Aids Using Statistical Shape Learning. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008. MICCAI 2008. Lecture Notes in Computer Science, vol 5241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85988-8_62
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DOI: https://doi.org/10.1007/978-3-540-85988-8_62
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