Motion compensation based on dynamic data in PET acquisition

Respiratory motion artifacts can be a significant factor that limits the positron emission tomography (PET) image quality. Gating technique is one of methods utilizing the tracking information to compensate for subject motion. In this paper, we propose a new method that utilizes the geometric sensitivity of a 3D-PET scanner system to gate respiratory motion. This method is non-invasive and no additional hardware device required. Using GATE (GEANT4 Application Tomographic Emission) and NCAT (NURBs (Non Uniform Rational B-Splines) Cardiac Torso) software packages simulate PET acquisition and respiratory motion respectively. Proposed method applied to simulated data demonstrates that respiratory motion can be gated.