ABSTRACT
Image reconstruction algorithms are used to form images of radiotracer biodistributions from PET and SPECT emission data. These algorithms can be classified into two main groups: analytical and statistical or model-based reconstruction. Analytical approaches are based on inverting the mathematical relationships between a function and its line integrals or projections. Statistical or model-based approaches use computational models of the physical and statistical aspects of the data acquisition process, possibly also incorporating prior information about the radiotracer biodistribution, to arrive at an image that best explains the data.
