A multiphase level set method for tomographic reconstruction of dynamic objects

In this paper we present a novel variational method for tomographic reconstruction of dynamic objects with a multiphase level set method. Our method can reconstruct an image sequence composed of multiple regions from an extremely sparse and noisy projection data set. The number of regions in a scene can also change over time in our model. Temporal dynamics for region boundary and intensities are modeled and incorporated into an energy function with a new distance measure between curves. Preliminary results on reconstructing a simulated dynamic cardiac sequence from noisy projection data of only three angles at each time instant is presented.