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Automatic construction of statistical shape models for vertebrae

: Becker, Meike; Kirschner, Matthias; Fuhrmann, Simon; Wesarg, Stefan


Fichtinger, G.:
Medical image computing and computer-assisted intervention, MICCAI 2011. 14th international conference. Pt.2 : Toronto, Canada, September 18-22, 2011; proceedings
Berlin: Springer, 2011 (Lecture Notes in Computer Science 6892)
ISBN: 3-642-23628-6
ISBN: 978-3-642-23628-0
ISBN: 978-3-642-23629-7
ISSN: 0302-9743
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) <14, 2011, Toronto>
Conference Paper
Fraunhofer IGD ()
statistical shape models (SSM); 3D model segmentation; point correspondence; cutting; surface parameterization; Forschungsgruppe Medical Computing (MECO)

For segmenting complex structures like vertebrae, a priori knowledge by means of statistical shape models (SSMs) is often incorporated. One of the main challenges using SSMs is the solution of the correspondence problem. In this work we present a generic automated approach for solving the correspondence problem for vertebrae. We determine two closed loops on a reference shape and propagate them consistently to the remaining shapes of the training set. Then every shape is cut along these loops and parameterized to a rectangle. There, we optimize a novel combined energy to establish the correspondences and to reduce the unavoidable area and angle distortion. Finally, we present an adaptive resampling method to achieve a good shape representation. A qualitative and quantitative evaluation shows that using our method we can generate SSMs of higher quality than the ICP approach.