DAI Xiu-bin, ZHU Hong-qing, SHU Hua-zhong, et al. Minimum Cross-Entropy Reconstruction of PET Images Based on a Content-Adaptive Mesh Model[J]. Acta Electronica Sinica, 2006, 34(11): 1999-2003.
DAI Xiu-bin, ZHU Hong-qing, SHU Hua-zhong, et al. Minimum Cross-Entropy Reconstruction of PET Images Based on a Content-Adaptive Mesh Model[J]. Acta Electronica Sinica, 2006, 34(11): 1999-2003.DOI：
Content-adaptive mesh modeling is an efficient method for image representation.In this paper
the minimum cross-entropy algorithm using prior anatomical information
combined with mesh model
was applied to the reconstruction of PET images.In the proposed algorithm
the nodes of mesh model were extracted from a reference image obtained with FBP method;then
the values of the nodes were computed through the minimum cross-entropy algorithm with prior anatomical information.Finally
the whole image was reconstructed by interpolation from the values of the nodes.The performance of the proposed method was tested and compared with other algorithms using a set of simulated data.The effect of the parameters on the result was also studied.
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