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A rapid reconstruction algorithm for a PET image

An image reconstruction and image technology, applied in the field of image reconstruction, can solve the problems of low reconstruction efficiency and blurred details of positron emission tomography images, and achieve the effects of ensuring the quality of reconstructed images, improving the efficiency of reconstruction, and high image quality.

Inactive Publication Date: 2019-05-21
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0005] The purpose of the present invention is to provide a kind of fast reconstruction algorithm for PET image, to solve the problem of low reconstruction efficiency and fuzzy details of positron emission tomography image existing in the prior art

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  • A rapid reconstruction algorithm for a PET image
  • A rapid reconstruction algorithm for a PET image
  • A rapid reconstruction algorithm for a PET image

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Embodiment Construction

[0046] The present invention will be further explained below in conjunction with the accompanying drawings.

[0047] A kind of fast reconstruction algorithm for PET image of the present invention comprises the following steps:

[0048] Step 1, use the MLEM algorithm to perform the first iterative operation in the reconstruction of the γ-photon image: pass the response curve conforming to the time window through the MLEM algorithm, and perform an iteration to obtain an image close to the converged value; the specific steps are:

[0049] When reconstructing PET gamma photon images, a system equation is established first:

[0050] Y=H*u (1)

[0051] Among them, Y is the sinusoidal diagram after vectorization, u is the vectorized slice diagram, and H is the system matrix;

[0052] In the process of image reconstruction, the physical process of decaying positron emission itself satisfies the Poisson distribution in mathematics, and the expectation of the number of emitted positro...

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Abstract

The invention discloses a rapid reconstruction algorithm for a PET image, and the algorithm comprises the following steps: carrying out the one-time iteration of a response curve which accords with atime window through an MLEM algorithm, and obtaining an image which approaches a convergence value; Performing format conversion on the generated image to obtain an RGB image; Classifying the image subjected to format conversion through a deep convolutional neural network to obtain a template of an input image; Carrying out image detail enhancement on the image by utilizing a region growing method; Carrying out point-by-point multiplication on the template subjected to image classification and the template subjected to detail enhancement to obtain a new template; Carrying out point-by-point multiplication on the image obtained after the primary iteration and a new template to obtain an input image of the next iteration; And carrying out second iteration on the image through an MLEM algorithm to complete image reconstruction. According to the method, the problems of low reconstruction efficiency, fuzzy image details, degradation and the like in positron emission tomography image reconstruction are solved.

Description

technical field [0001] The invention relates to the field of image reconstruction, in particular to a method for detail enhancement and fast reconstruction of gamma photon images generated after positron annihilation. Background technique [0002] In clinical medicine, Positron Emission Tomography PET (Positron Emission Tomography) has been widely used in the diagnosis and pathological research of tumors, heart and brain diseases. PET technology utilizes the highly penetrating gamma photon pairs generated after the annihilation of positive and negative electrons to achieve 3D imaging, which provides the possibility for this technology to be used in non-destructive testing in the industrial field. The detection equipment emits relatively high-energy gamma radiation from the positron source and penetrates into the material to be tested. The positrons collide with the negative electrons inside the material and annihilate. After annihilation, two electrons fly out in opposite di...

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Application Information

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IPC IPC(8): G06T11/00G06T7/187G06K9/62
Inventor 江涛赵敏姚敏吴蓉
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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