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15:15-16:00 Tim Cootes, Manchester University, United Kingdom
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Diffeomorphic Statistical Shape Models

We describe a method of constructing parametric statistical models of shape
variation which can generate continuous diffeomorphic (non-folding)
deformation fields.  Traditional statistical shape models are constructed by
analysis of the positions of a set of landmark points.  Here we analyse the
parameters of continuous warp fields, constructed by composing simple
parametric diffeomorphic warps. The warps are composed in such a way that
the deformations are always defined in a reference frame.  This allows the
parameters controlling the deformations to be meaningfully compared from one
example to another.  A linear model is learnt to represent the variations in
the warp parameters across the training set.  This model can then be used to
generalise the deformations. Models can be built from sets of unlabelled
images by using techniques from non-rigid registration to construct the warp
fields which deform a reference image into each example. We describe the
technique in detail and give examples of the resulting models.



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16:15-17:00 Hervé Delingette, INRIA, Sophia Antipolis, France
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Soft Tissue Modeling for Diagnosis and Medical Simulation