Random Sinogram Variance Reduction in Continuous Bed Motion Acquisition

Random sinogram variance is reduced in continuous bed motion acquisition. The randoms are modeled as a product of transverse singles efficiencies. The random sinogram is assumed to be a smooth function in the axial direction, collapsing the parameterization for estimating the transverse singles efficiencies into a single, conceptual ring. By solving the product, the mean random values are used to smooth the randoms in image reconstruction with less noise and artifacts.