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An image reconstruction method based on three-dimensional weighted filtering back projection and statistical iteration

A technology of weighted filtering and image reconstruction, applied in the field of image processing, can solve problems such as limited application and slow imaging speed, and achieve the effect of eliminating artifacts, suppressing noise, and reducing the number of iterations required.

Active Publication Date: 2019-06-28
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, in the iterative method, multiple calculations of front projection and back projection are required, and the imaging speed is much slower than that of the analytical reconstruction algorithm, which limits its practical application.

Method used

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  • An image reconstruction method based on three-dimensional weighted filtering back projection and statistical iteration
  • An image reconstruction method based on three-dimensional weighted filtering back projection and statistical iteration
  • An image reconstruction method based on three-dimensional weighted filtering back projection and statistical iteration

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Embodiment

[0053] figure 1 It is a flow chart of the image reconstruction method based on three-dimensional weighted filter back projection and statistical iteration of the present invention.

[0054] In this example, if figure 1 As shown, the present invention is a kind of image reconstruction method based on three-dimensional weighted filter back projection and statistical iteration, comprising the following steps:

[0055] S1. Obtain projection data and mark it;

[0056] S1.1. Establish a three-dimensional object coordinate system with the center of the object to be reconstructed as the origin, divide the object to be reconstructed into a voxel, and express a single voxel as X i , and the corresponding coordinates are set to (x i ,y i ,z i ), i=1, 2,..., N represents the total number of individual voxels that the object to be reconstructed is divided into;

[0057] S1.2. In this embodiment, if figure 2 As shown in , obtain the projection data of the object to be reconstructed,...

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Abstract

The invention discloses an image reconstruction method based on three-dimensional weighted filtering back projection and statistical iteration. The method comprises the following steps: firstly obtaining projection data, obtaining a projection angle, a taper angle and a fan angle of a ray corresponding to each projection data, then pre-weighting the projection data, then carrying out line-by-linefiltering on the pre-weighted projection data, then carrying out three-dimensional weighting, and carrying out back projection to obtain an initial reconstructed image, and calculating projection estimation values at all angles according to the obtained reconstructed image, comparing the projection estimation values with actual projection data, calculating an error, correcting the reconstructed image according to the error, and repeatedly iterating the process until the reconstructed image meeting the condition is obtained.

Description

technical field [0001] The invention belongs to the technical field of image processing, and more specifically relates to an image reconstruction method based on three-dimensional weighted filter back projection and statistical iteration. Background technique [0002] Computed tomography (Computed Tomography, CT) is a technology that obtains cross-sectional information of objects by measuring objects with ray projections at different angles. It is widely used in industrial non-destructive testing, medical diagnosis, geophysics, agriculture and forestry and other fields. . After years of development, the scanning method of CT has been developed from two-dimensional parallel beam scanning to three-dimensional cone beam scanning, three-dimensional cone beam CT (cone beam CT, CBCT). Compared with two-dimensional CT, it has the advantages of high ray utilization rate, high longitudinal resolution, short scanning time, and low partial volume effect. It has become a research hotsp...

Claims

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Application Information

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IPC IPC(8): G06T17/00
Inventor 杨波徐聪聪闫新童刘珊曾庆川刘婷婷郑文锋
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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