PET image reconstruction: Mean, variance, and optimal minimax criterion
Liu Huafeng
Gao Fei
Guo Min
Xue Liying
Shi Pengcheng
· 2015
期刊名称:
Journal of Physics D: Applied Physics
2015 年
48 卷
15 期
摘要:
Given the noise nature of positron emission tomography (PET) measurements, it is critical to know the image quality and reliability as well as expected radioactivity map (mean image) for both qualitative interpretation and quantitative analysis. While existing efforts have often been devoted to providing only the reconstructed mean image, we present a unified framework for joint estimation of the mean and corresponding variance of the radioactivity map based on an efficient optimal min-max criterion. The proposed framework formulates the PET image reconstruction problem to be a transformation from system uncertainties to estimation errors, where the minimax criterion is adopted to minimize the estimation errors with possibly maximized system uncertainties. The estimation errors, in the form of a covariance matrix, express the measurement uncertainties in a complete way. The framework is then optimized by ???-norm optimization and solved with the corresponding H