Investigation of in vivo models of disease requires imaging studies involving single subjects in single imaging sessions, serial imaging of individuals or groups of subjects, and integration of data across diverse and heterogeneous experimental methodologies. Each type of experiment is preferably supported by various feature sets that can be rigorously applied to produce quantitative, reproducible results. Current imaging scanners are not equipped with standardized capability that supports an automated and scientifically rigorous workflow suited to hypothesis testing. An imaging system includes a research workstation at which a user can design, execute, study, and report imaging plans. Flexibility that comes along with a modular design of the system allows the user to customize workflow parameters for more robust hypothesis testing.
