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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

Inactive Publication Date: 2005-07-20
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

Since the projection data detected by the PET scanner is incomplete, and the reconstruction of the tomographic image is a pathological inverse operation in mathematics, the reconstructed image usually has noise and edge artifacts. Segmentation, resulting in the defects of unclear image margins, low resolution, and cumbersome operations
There are many reasons for positron emission tomography (PET) imaging errors, such as rapid decay of positron drug intensity, radiometric limitations, detector limitations, system dead time loss due to high count rate, random coincidence, The impact of scattering and human body absorption attenuation, statistical noise, etc. cause the statistical characteristics of PET imaging data to be much worse than projection imaging, which seriously affects the quality of PET imaging

Method used

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  • Positive computerized tomography restoration method for multi-phase horizontal set
  • Positive computerized tomography restoration method for multi-phase horizontal set
  • Positive computerized tomography restoration method for multi-phase horizontal set

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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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Abstract

The present invention discloss a positron tomographic scanning image reconstruction method of multiphase level set. Said method mainly includes the following steps: obtaining projection data, defining number of level set functions, using K mean cluster method to obtain initial concentration value of image, calculating to obtain object function for reconstructing image, solving partial derivatives, obtaining current level set evolve correction, updating reconstructed image, obtaining estimated image and concentration estimated value, and converging reconstructed image. Said invention has the advantages of eliminating noise, retaining edge and eliminating edge pseudo-image, etc.

Description

technical field [0001] The invention relates to an image reconstruction method, in particular to a multiphase level set positron emission tomography reconstruction method. technical background [0002] Positron emission computed tomography is mainly used in the early prediction and prevention of tumors and cancers in medical diagnosis and clinical research, and has the function of predicting the diagnosis of various brain tumors and cancer lesions. Diagnosis doctors usually manually segment the reconstructed image to understand the location and shape of the tumor. Since the projection data detected by the PET scanner is incomplete, and the reconstruction of the tomographic image is a pathological inverse operation in mathematics, the reconstructed image usually has noise and edge artifacts. Segmentation has the defects of unclear image margins, low resolution, and cumbersome operations. There are many reasons for positron emission tomography (PET)...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B6/03A61B8/13
Inventor 朱宏擎周键舒华忠罗立民李松毅
Owner SOUTHEAST UNIV
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