Correction information acquisition method for performing attenuation correction on PET activity distribution image
An activity distribution and attenuation correction technology, applied in the field of medical imaging, can solve the problems of attenuation image truncation, low precision, and the influence of attenuation correction, and achieve the effect of solving attenuation artifacts, ensuring feasibility, and ensuring accurate quantification.
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Embodiment 1
[0085] An embodiment of the present invention provides a correction information acquisition method for performing attenuation correction on a PET activity distribution image, such as figure 1 As shown, the method includes the following steps:
[0086] S0. Acquiring PET detection data with time-of-flight information when the PET system scans;
[0087]S1. Based on the fact that the PET detection data obeys the Poisson distribution, the PET detection data is modeled to obtain the logarithmic likelihood function L(x, μ, y) of the formula (3);
[0088] Formula (3)
[0089]
[0090] Among them, y=[y 1t ,y 2t ,...,y NT ] T Represents probe data.
[0091] S2. Based on the prior knowledge constraints of the linear attenuation coefficient, initialize the distribution of the linear attenuation coefficient to generate an initial value μ 0 , and adjust formula (3) to generate the objective function of formula (5) with prior knowledge constraints
[0092] For example, step S2 m...
Embodiment 2
[0137] The method of this embodiment is the same as the method of the first embodiment above in some steps, for example, step S0 and step S1 are basically the same, and in this embodiment, steps S2a to S2c are added. Correspondingly, step S3 is also adaptively changed.
[0138] Specifically, such as figure 2 shown, including the following steps:
[0139] S0. Acquiring PET detection data with time-of-flight information when the PET system scans;
[0140] S1. Based on the PET detection data obeying the Poisson distribution, the PET detection data is modeled to obtain a logarithmic likelihood function (same as formula 3) L(x, μ, y);
[0141] S2. Based on the prior knowledge constraints of the linear attenuation coefficient, initialize the distribution of the linear attenuation coefficient to generate an initial value μ 0 , and adjust formula (A1) to generate the objective function of formula (5) with prior knowledge constraints
[0142] S2a. Obtaining the initial value x o...
Embodiment 3
[0170] An embodiment of the present application provides a method for reconstructing a PET activity distribution image, including:
[0171] 201. Obtain the output values of the PET activity distribution x and the linear attenuation coefficient distribution μ by using the method described in the first or second embodiment above;
[0172] 202. Apply the output values of the PET activity distribution x and the linear attenuation coefficient distribution μ to reconstruction of a PET activity distribution image scanned by a PET system.
[0173] In practical applications, the PET activity distribution image reconstruction method performs image reconstruction on a single bed, and then stitches together a PET activity distribution image of the entire scanning space;
[0174] Alternatively, the PET activity distribution images to be reconstructed of all beds are stitched together, and the stitched images are reconstructed using a PET activity distribution image reconstruction metho...
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