An iterative virtual projection method to improve the reconstruction performance for ill-posed emission tomographic problems
Liu Hua-Wei, Zheng Shu, Zhou Huai-Chun†
An iterative virtual projection method to improve the reconstruction performance for ill-posed emission tomographic problems |
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Liu Hua-Wei, Zheng Shu, Zhou Huai-Chun†
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| Comparison among reconstruction errors. In each figure, in the first situation, the Tikhonov regularization method is used with a best regularization coefficient α with one significant digit which makes the reconstruction error determined by Eq. ( 10 ) minimal. In the second situation, the TR method is combined with 15 times virtual projections without iterative correction (TR + VP), and in the last situation, the TR method is combined with 15 times virtual projections after 10 times iterative correction (TR + IVP). (a) Case A, (b) Case B, (c) Case C, and (d) Case D. |
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