PET image reconstructing method and device

An image and weight factor technology, applied in the field of medical image processing, can solve problems such as limited application scope, blurred image details, and low contrast.

Inactive Publication Date: 2015-04-29
NEUSOFT MEDICAL SYST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of this, the first aspect of the present invention provides a PET image reconstruction method to overcome the limited application range of the PICCS method in the prior art and the problems of blurred image details and low contrast in the reconstructed image

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  • PET image reconstructing method and device
  • PET image reconstructing method and device

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Experimental program
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Embodiment 1

[0101] figure 1 is a schematic flow chart of the PET image reconstruction method provided by Embodiment 1 of the present invention. Such as figure 1 As shown, the reconstruction method includes the following steps:

[0102] S11. Obtain PET projection data Y:

[0103] It should be noted that the PET image reconstruction method provided by the embodiment of the present invention is applicable to the case where the acquired projection data Y is incomplete projection data. When the injection amount is insufficient or the acquisition time is shortened, the data acquired are incomplete projection data.

[0104] S12. Acquire an initial estimated image according to the PET projection data Y:

[0105]The PET projection data Y is reconstructed by using an analytical reconstruction algorithm commonly used in the field, such as the FBP algorithm, or by using a full-one matrix method to obtain an initial estimated image.

[0106] S13. Obtain an estimated target image according to the ...

Embodiment 2

[0135] It should be noted that Embodiment 2 has many similarities with Embodiment 1. In order to highlight the differences between Embodiment 2 and Embodiment 1, the embodiment of the present invention will focus on the differences. The similarities Please refer to the description of Embodiment 1.

[0136] In the embodiment of the present invention, in the process of solving the minimum solution of the objective function under the constraint condition of A·X=Y, the gradient descent method is preferably used to iteratively reconstruct the estimated target image.

[0137] When the gradient descent method is used to iteratively reconstruct the target estimated image, the iterative reconstruction formula is:

[0138] X new k = X k + α 1 · h 1 k · ∂ ...

Embodiment 3

[0153] It should be noted that the third embodiment is obtained by further improving the implementation of the PET image reconstruction method described in the second embodiment. Therefore, the third embodiment has many similarities with the second embodiment. In order to highlight the embodiment The differences between the third embodiment and the second embodiment, the embodiment of the present invention will focus on the differences, and for the similarities, please refer to the description of the second embodiment.

[0154] image 3 is a schematic flow chart of the PET image reconstruction method provided by Embodiment 3 of the present invention. Such as image 3 As shown, it specifically includes the following steps:

[0155] S31 to S33 are the same as steps S21 to S23 in the first embodiment, and for the sake of brevity, no detailed description is given here, and details are referred to corresponding descriptions in the first embodiment.

[0156] S34. Based on adaptiv...

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Abstract

The invention provides a PET image reconstructing method. The method comprises the steps that PET projection data Y are acquired; an initial estimation image is acquired according to the PET projection data Y; iteration reconstruction is carried out on the initial estimation image to obtain a target estimation image; a target function is established based on total variation sparse conversion and a prior image Xp according to the target estimation image, and the expression of the target function is shown in the specification, wherein the prior image Xp is an image obtained after iteration reconstruction is carried out through the PET projection data Y; the minimum solution of the target function is solved under the constraint condition of A*X=Y, and the minimum solution of the target function is the reconstructed PET target image. By means of the method, the obtained image has clear detail information and high image contrast, and the wide application range of the PICCS algorithm is enlarged in the field of PET image reconstruction. The invention further provides a PET image reconstructing device.

Description

technical field [0001] The present invention relates to the technical field of medical image processing, in particular to a PET image reconstruction method and device. Background technique [0002] When performing PET (Positron Emission Tomograph, Positron Emission Tomography) scanning, if the drug injection dose is low, the count rate is also low, so that the PET image contains noise and artifacts, resulting in poor PET image quality. Low. [0003] For the low-dose PET image reconstruction, in order to eliminate the noise and artifacts in the image, the currently more general PET image reconstruction method is the PICCS (Prior Image Constrained Compressive Sensing) method. The PICCS method removes the noise and artifacts contained in the low-dose image by making the target image gradually approach the prior image in the iterative process, and can inherit the characteristics of the prior image while smoothing the noise. [0004] In the prior art, there are two ways to obta...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00
Inventor 李运达孙智鹏刘勺连
Owner NEUSOFT MEDICAL SYST CO LTD
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