Sinogram-based motion correction of PET images using optical motion tracking system and list-mode data acquisition

A head motion during brain imaging has been recognized as a source of image degradation and introduces distortion in positron emission tomography (PET) image. There are several techniques to correct the motion artifact, but these techniques cannot correct the motion during scanning. The aim of this study is to develop a sinogram-based motion correction (SBMC) method to correct directly the head motion during PET scanning using a motion tracking system and list-mode data acquisition. This method is a rebinning procedure by which the lines of response (LOR) are geometrically transformed according to the current values of the six-dimensional motion data. Michelogram was recomposed using rebinned LOR and motion corrected sinogram was generated. In the motion corrected image, the blurring artifact due to motion was reduced by SBMC method.