Séminaire du jeudi 11 mars 2010
Orateur: Stanley Durrleman
Title:
Statistical models of currents for measuring the variability of anatomical
curves and surfaces and their evolution
Abstract:
This presentation is about the definition, the implementation and the
evaluation of statistical models of curves and surfaces based on currents in
the context of Computational Anatomy. Currents were introduced in medical
imaging to define a metric between curves and surfaces which does not assume
point correspondence between structures. This metric was used to drive the
registration of anatomical data. In this presentation, we will show how to
extend this tool to analyze the variability of anatomical structures via the
inference of generative statistical models. Given a set of anatomical
structures, we infer a template shape along with the deformation of this
template to each subject. This decomposes the anatomical variability
into two terms: the geometrical variability captured by the deformations and
the "texture" captured by the residuals. We use this approach to infer the
variability of the cortex surface from the position of the sulcal lines and
to give a description of the variability of white matter fiber bundles of
the brain. Eventually, we show how this method can be extended to analyse
the variability of temporal evolution of shapes.
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CMLA UMR 8536 |
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