Super-resolution in cardiac PET using mass-preserving image registration

The relatively poor spatial resolution is one of the limitations for accurate disease diagnosis in Positron Emission Tomography (PET) imaging. This paper presents an effective super-resolution (SR) approach to gated cardiac PET based on a mass-preserving motion estimation, which enables to deal with the intensity modulation caused by cardiac motion and partial volume effects. A performance evaluation is conducted to demonstrate the performance of the proposed algorithm, in particular the benefit of mass-preserving based motion estimation for SR computation in gated cardiac PET.