Level Set Methods for Dynamic Tomography

In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we developed a general object dynamic model based on a one to one and differentiable mapping. We then propose a novel distance between curves to incorporate the object dynamics into the variational framework. For the minimization of the energy function, we developed a coordinate descent algorithm based on the level set methods. Experimental results for reconstructing a sequence of multiple dynamic objects are presented.

• Type: Conference
• Year: 2004
• Where: ISBI
• Authors: Yonggang Shi, William Clement Karl
• Keywords: ISBI 2004, Medical Imaging, Multiple Dynamic Objects, Object Dynamic Model, Object-based Scene Model