CPC G06T 11/006 (2013.01) [A61B 6/037 (2013.01); G06T 11/008 (2013.01); G06V 10/7715 (2022.01); G06T 2211/40 (2013.01)] | 8 Claims |
1. A method for reconstructing a Positron Emission Tomography (PET) image, comprising the steps of:
acquiring a prior image comprising an anatomical image and an autocorrelation feature image, the autocorrelation feature image being determined based on a gray-level co-occurrence matrix of the anatomical image;
acquiring a feature value of the prior image; and
reconstructing the PET image according to the feature value and an iterative algorithm;
wherein said step of reconstructing the PET image according to the feature value and the iterative algorithm comprises:
adding the feature value to an orthographic projection model of the PET image to obtain a target orthographic projection model and a target log-likelihood function corresponding to the target orthographic projection model;
obtaining an estimated value of a specified parameter in the target log-likelihood function through an iterative formula according to an expectation maximization method; and
determining the reconstructed PET image according to a target formula, the feature value, and the estimated value of the specified parameter; wherein the target formula is determined through the feature value and a pixel gray value calculation formula.
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