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New hull-voxel approach to image reconstruction from limited projections and views

We discuss the problem of image reconstruction from limited views and sparse projections in order to achieve a more accurate diagnosis of the patient’s morphology. As a priori assumption we demand that the object consists of regions with constant attenuation coefficient. Hereby, the number of such regions is not restricted. The dual-phase reconstruction concept is a new method based on this a priori information and thus allows counterbalancing for to the lack of projections data. In the first reconstruction phase the Bayesian approach is applied while at the second phase the so called hull-voxel iteration technique is developed which provides the iterative fitting of region surfaces by global optimization. The results are evaluated based on simulated Shepp-Logan and experimental medical phantoms respectively.