Positive computerized tomography restoration method for multi-phase horizontal set
A technology of positron tomography and multi-phase level set, which can be used in computer tomography scanners, echo tomography, etc. It can solve the problems of unclear image margins, loss of system dead time, and complicated operations, and achieve edge artifact elimination. , the effect of eliminating noise and improving quality
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Embodiment 1
[0029] A Multiphase Level Set Positron Emission Tomography Reconstruction Method:
[0030] 1) Obtain the projection data, reconstruct the acquired tomographic projection data with the existing filtered back projection (FBP) method for tomography (CT), obtain an initial image, and select the step size Δt of the level set evolution,
[0031] 2) Determine the number of level set functions according to the concentration composition of the initial image,
[0032] 3) Obtain the initial concentration value of image with the method for K mean value clustering, the method for this K mean value clustering can adopt any one in the prior art, as: adopt " digital image processing " 1998 published by Electronic Industry Press The K-means clustering method disclosed in the September book, this method can be used to divide the concentration of the image,
[0033] 4) Add β times the total variation of the discretized initial image to the objective function of the existing weighted least squar...
Embodiment 2
[0040] The present invention is obtained after improving the existing PET reconstruction method, and the content of the specific embodiment is as follows:
[0041] 1. Existing PET reconstruction methods
[0042] At present, most of the commercial PET scanners use the expected maximum likelihood estimation method. The so-called likelihood function refers to the conditional probability of the observation data under the parameters to be estimated, and its maximization is generally considered to be the most reasonable without prior knowledge. The estimation criterion of is widely used in various practical estimation problems. The idea of maximum likelihood estimation applied to PET was first developed in 1982. The model is based on the assumption that the photon emission process detected by the PET scanner obeys the Poisson distribution.
[0043] y i ~ Poisson { Σ j ...
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