Sparse statistical deformation model for the analysis of craniofacial malformations in the crouzon mouse Conference

Ólafsdóttir, H, Hansen, MS, Sjöstrand, K et al. (2007). Sparse statistical deformation model for the analysis of craniofacial malformations in the crouzon mouse . Lecture Notes in Computer Science, 4522 LNCS 112-121. 10.1007/978-3-540-73040-8_12

cited authors

  • Ólafsdóttir, H; Hansen, MS; Sjöstrand, K; Darvann, TA; Hermann, NV; Oubel, E; Ersbøll, BK; Larsen, R; Frangi, AF; Larsen, P; Perlyn, CA; Morriss-Kay, GM; Kreiborg, S

abstract

  • Crouzon syndrome is characterised by the premature fusion of cranial sutures. Recently the first genetic Crouzon mouse model was generated. In this study, Micro CT skull scannings of wild-type mice and Crouzon mice were investigated. Using nonrigid registration, a wild-type craniofacial mouse atlas was built. The atlas was registered to all mice providing parameters controlling the deformations for each subject. Our previous PCA-based statistical deformation model on these parameters revealed only one discriminating mode of variation. Aiming at distributing the discriminating variation over more modes we built a different model using Independent Component Analysis (ICA). Here, we focus on a third method, sparse PCA (SPCA), which aims at approximating the properties of a standard PCA while introducing sparse modes of variation. The results show that SPCA outperforms both ICA and PCA with respect to the Fisher discriminant, although many similarities are found with respect to ICA. © Springer-Verlag Berlin Heidelberg 2007.

authors

publication date

  • January 1, 2007

published in

Digital Object Identifier (DOI)

start page

  • 112

end page

  • 121

volume

  • 4522 LNCS