3D implementation of Scatter Estimation in 3D PET

Successful 3D imaging requires accurate and robust methods for scatter estimation and correction. We developed a computationally efficient fully 3D approach modeling both the axial and trans-axial scatter components. Simulation results showed good agreement with the Monte Carlo scatter and improved image quality (IQ). We tested the proposed algorithm on clinical data with similar IQ improvements.