紧框架模型下的MP-PET图像恢复方法研究

摘要

目的:提出紧框架下的心肌灌注-正电子发射断层成像(myocardial perfusion-positron emission tomography,MP-PET)图像恢复方法,克服MP-PET重建图像受噪声影响极大、图像质量严重退化等问题.方法:结合低秩稀疏分解理论对MP-PET图像进行分离,利用目标图像的紧框架变换系数具有稀疏性的特点对MP-PET图像进行稀疏约束,从而恢复图像质量.结果:采用计算机仿真实验数据进行验证,多种量化指标均表明该方法的恢复效果较优.结论:比起单一引入约束的方法,紧框架下的MP-PET图像恢复方法具有优质恢复效果.%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.