Respiration Motion Correction Of PET Images Based On Area Integral System Matrix

Positron emission tomography (PET) is a new type of nuclear medical imaging technique, it can nondestructively obtain functional images of patient, and quantitatively monitor physiological change and biochemical reaction in the body. At the present time PET has been widely applied to Neurological diseases, vessel diseases, tumor diagnosis and other clinical treatment. But the acquisition time of PET is too long to avoid the respiration motion in the collecting data process. And the respiration motion will make edge blur, drop contrast ratio and reduce quality of reconstruction image. This may cause uncertainty to clinical treatment.Because of the complexity and particularity in the PET imaging system, the traditional motion correction methods can’t reach the clinical request. So many researchers spend a lot of time and energy eliminating motion in PET image.This paper systematically introduces the theory of PET imaging system as well as the complexity and particularity in PET imaging process. On the base of respiratory movement characteristics the paper analyzes the defects of existing motion correction technology in the problem. Then a new respiration motion correction method based on Strip-area integral system matrix is proposed in this paper.Theoretical analysis and simulation results show that by using this method we can improve the reconstructed image SNR and contrast ratio, achieve good correction effect. This method is independent on physical equipment. It can improve the image quality without increasing any radiation for patients. This method has high potential in clinical application.