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Interation curative wave filtration combined weighted least squares positron emission tomography method

A technology of positron emission and least squares, which is applied to radiological diagnostic instruments, diagnosis, image enhancement, etc., can solve the problems of suboptimal reconstructed images, noise, etc., and achieve suppression of background interference, simple implementation, and high processing speed fast effect

Inactive Publication Date: 2006-07-12
SOUTHEAST UNIV
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Problems solved by technology

We can clearly see that the reconstructed image is not ideal, and the noise phenomenon is more obvious

Method used

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  • Interation curative wave filtration combined weighted least squares positron emission tomography method
  • Interation curative wave filtration combined weighted least squares positron emission tomography method
  • Interation curative wave filtration combined weighted least squares positron emission tomography method

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specific Embodiment approach

[0053] 1) Obtain the observed data that has undergone random coincidence correction, determine its scale M, and save it as the vector y=[y 1 ,Λ,y M ] T . According to the size requirements of the image to be reconstructed, determine the scale N of the initial image, given its initial gray value greater than 1, and save it in the vector f=[f 1 , Λ, f N ] T middle.

[0054] 2) Calculate the M×N system probability matrix A according to the size of the observed data y and the initial image f. In order to calculate the system probability matrix, we should know the geometric structure of the scanner, and then calculate it according to a certain method, such as the Angle of view method.

[0055] In actual situations, the observation data are collected from PET imaging scanners. In order to evaluate the pros and cons of the method, we can also generate the required observation data through computer simulation experiments. Here we use figure 1 A computer simulation of a PET ch...

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Abstract

The invention discloses an image-forming method of weighting curvature flow filtering during the least square iterating for constructing image of positive electron emitting tomography, firstly getting observing data, determining the scale of original image, comparing each component in the observing data with 1, dividing each component in the error variance and filtering the intermediate image with curvature flow and getting the filtered image as original image, repeating this course until the image reconstructed image contracted and getting the finished image; the invention adding curvature flow filtering in the least square iterating depending on the current feature of PET image-forming, through which to inhibit pattern noise and improve the image quality; the invention is characterized by the simple process, fast treating speed and good effect for inhibiting the background disturb.

Description

technical field [0001] The invention belongs to the field of positron emission tomography (PET: Positron emission tomography) imaging technology, and in particular relates to an iterative curvature flow filtering weighted least squares positron emission tomography method for constructing imaging images. Background technique [0002] In the modern PET imaging system, the stochastic coincidence pre-correction operation of the original Poisson observation data, especially the delay window coincidence correction, has become an important link necessary. It can effectively suppress most random coincidence events (especially background interference) and improve the signal-to-noise ratio of observation data. However, due to the pre-correction processing, the observed data no longer obey the original Poisson statistical characteristics. In this way, the estimation method based on the original Poisson maximum likelihood is no longer feasible. In such cases, we usually consider weigh...

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Application Information

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IPC IPC(8): A61B6/00A61B6/02G06T1/00G06T5/00
Inventor 周健罗立民李松毅
Owner SOUTHEAST UNIV
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