| Título: | Principal Deformations Modes of Articulated Models for the Analysis of 3D Spine Deformities |
| Autores: |
Boisvert, Jonathan Cheriet, Farida Pennec, Xavier Labelle, Hubert Ayache, Nicholas |
| Fecha: | 2009-04-15 |
| Publicador: | Elcvia: electronics letters on computer vision and image analysis |
| Fuente: |
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| Tipo: | |
| Tema: | Shape Analysis; Articulated Models; Spinal Deformities; Scoliosis; 3D Reconstruction; Surgical Classifications; Shape Analysis, Articulated Models, Spinal Deformities, Scoliosis |
| Descripción: | Articulated models are commonly used for recognition tasks in robotics and in gait analysis, but canalso be extremely useful to develop analytical methods targeting spinal deformities studies. The threedimensionalanalysis of these deformities is critical since they are complex and not restricted to a givenplane. Thus, they cannot be assessed as a two-dimensional phenomenon. However, analyzing large databasesof 3D spine models is a difficult and time-consuming task. In this context, a method that automatically extractsthe most important deformation modes from sets of articulated spine models is proposed.The spine was modeled with two levels of details. In the first level, the global shape of the spine wasexpressed using a set of rigid transformations that superpose local coordinates systems of neighboring vertebrae.In the second level, anatomical landmarks measured with respect to a vertebra’s local coordinatesystem were used to quantify vertebra shape. These articulated spine models do not naturally belong to avector space because of the vertebral rotations. The Fréchet mean, which is a generalization of the conventionalmean to Riemannian manifolds, was thus used to compute the mean spine shape. Moreover, ageneralized covariance computed in the tangent space of the Fréchet mean was used to construct a statisticalshape model of the scoliotic spine. The principal deformation modes were then extracted by performing aprincipal component analysis (PCA) on the generalized covariance matrix.The principal deformations modes were computed for a large database of untreated scoliotic patients.The obtained results indicate that combining rotation, translation and local vertebra shape into a unifiedframework leads to an effective and meaningful analysis method for articulated anatomical structures. Thecomputed deformation modes also revealed clinically relevant information. For instance, the first mode ofdeformation is associated with patients’ growth, the second is a double thoraco-lumbar curve and the thirdis a thoracic curve. Other experiments were performed on patients classified by orthopedists with respect toa widely used two-dimensional surgical planning system (the Lenke classification) and patterns relevant tothe definition of a new three-dimensional classification were identified. Finally, relationships between localvertebrae shapes and global spine shape (such as vertebra wedging) were demonstrated using a sample of3D spine reconstructions with 14 anatomical landmarks per vertebra.KeyWords: Shape Analysis, Articulated Models, Spinal Deformities, Scoliosis, 3D Reconstruction, Surgical Classifications. |
| Idioma: | Inglés |