An iterative virtual projection method to improve the reconstruction performance for ill-posed emission tomographic problems
Liu Hua-Wei, Zheng Shu, Zhou Huai-Chun†
       
Variations of reconstruction error for the TR method with iterative number ( α = 0.1, Case D). In each iteration, the regularization matrix is updated according to reconstruction results from the last iteration as expressed in Eq. ( 11 ).