Tight-frame-based MP-PET image recovery / 医疗卫生装备

Objective To propose an idea executing myocardial perfusion-positron emission tomography (MP-PET) to solve its problems in vulnerability to noise,degraded image quality etc.Methods Low-rank plus sparse decomposition theory was applied to decomposing MP-PET images,and sparsity constraint of MP-PET images was executed with its tight frame coefficient to restore the image quality.Results The validity of the proposed method was verified by computer simulation and multi quantitative index.Conclusion The results demonstrate better performance of the restored images from the proposed recovery model compared with other methods.