Software phantom for the synthesis of equilibrium radionuclide ventriculography images

This paper presents the novel design of a software phantom for the evaluation of equilibrium radionuclide ventriculography systems. Through singular value decomposition, the data matrix corresponding to an equilibrium image series is decomposed into both spatial and temporal fundamental components that can be parametrized. This parametric model allows for the application of user-controlled conditions related to a desired dynamic behavior. Being invertible, the decomposition is used to regenerate the radionuclide image series, which is then translated into a DICOM ventriculography file that can be read by commercial equipment.