Tight-frame-based MP-PET image recovery
10.7687/j.issn1003-8868.2017.10.005
- VernacularTitle:紧框架模型下的MP-PET图像恢复方法研究
- Author:
Xiao-Mian MA
1
;
Bing-Jin LIANG
;
Jun-Jun WU
Author Information
1. 广东食品药品职业学院软件学院
- Keywords:
myocardial perfusion;
positron emission tomography;
tight frame;
image recovery
- From:
Chinese Medical Equipment Journal
2017;38(10):5-8
- CountryChina
- Language:Chinese
-
Abstract:
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.
