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Image iteration reconstruction method and device

An iterative reconstruction and image technology, applied in the field of medical image processing, can solve problems such as the inability to completely eliminate bone sclerosis artifacts, information loss, and wrong removal of useful target information

Active Publication Date: 2017-05-17
SHANGHAI UNITED IMAGING HEALTHCARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the first method above may mistakenly remove useful target information from the original projection data, resulting in information loss; while the second method cannot completely eliminate bone sclerosis artifacts, and may introduce other artifacts during the correction process

Method used

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  • Image iteration reconstruction method and device

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Experimental program
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Embodiment 1

[0053] figure 2 It is a flow chart of an image iterative reconstruction method provided by Embodiment 1 of the present invention. The method can be executed by an image iterative reconstruction device. The device can be implemented by software and / or hardware. The device can be integrated in any required Among the medical image reconstruction devices, for example, a typical medical three-dimensional scanning device, such as a conventional CT scanner, a helical CT scanner, or an MRI scanner, etc. Specifically include the following steps:

[0054] S210. Acquire water hardening-corrected projection data after ray scanning of the target object, and generate an initial reconstructed image and a noise weight matrix according to the projection data.

[0055] Usually there are two types of bone sclerosis artifacts, one is the dark band between dense objects and the direction of the extension line of the bone, such as Figure 3a The band-like osteosclerosis artifact 301 is shown, wh...

Embodiment 2

[0071] In this embodiment, on the basis of the foregoing embodiments, the above-mentioned iterative reconstruction model of osteosclerosis is further introduced.

[0072] According to the description of the above embodiments, it can be seen that the iterative reconstruction model of osteosclerosis used in the embodiment of the present invention is improved from the conventional iterative reconstruction model, and the osteosclerosis model is considered during the model construction process.

[0073] First, the objective function of the regular iterative reconstruction model is:

[0074]

[0075] Among them, FP is the forward projection operator that transforms the image domain into the projection domain, and X WC is the reconstructed image after water hardening correction, FP(X WC ) is the projection data of the reconstructed image after water hardening correction, Y WC is the projection data corrected for water hardening, W is the noise weight matrix, and β is a parameter...

Embodiment 3

[0097] Figure 4 It is a flow chart of an image iterative reconstruction method provided by Embodiment 3 of the present invention. This embodiment is specifically described and optimized on the basis of the foregoing embodiments. The steps that are the same as those in the above embodiment use the corresponding reference numerals, and the explanations of terms that are the same as or corresponding to those in the above embodiment will not be repeated here. Combine below Figure 4 The image reconstruction method provided in Embodiment 3 of the present invention will be described. The method in this embodiment includes:

[0098] S210. Acquire water hardening-corrected projection data after ray scanning of the target object, and generate an initial reconstructed image and a noise weight matrix according to the projection data.

[0099] S220. Obtain an initial regularization penalty factor and an initial bone image segmentation matrix according to the initial reconstructed image...

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Abstract

The embodiment of the invention discloses an image iteration reconstruction method and a device. The method comprises steps of acquiring projection data subjected to water hardening correction after a target object is subjected to ray scanning, and according to the projection data, generating an initial reconstruction image and a noise weight matrix; according to the initial reconstruction image, acquiring an initial regularization penalty factor and an initial bone image segmentation matrix; according to the projection data, the initial reconstruction image, the initial bone image segmentation matrix, the noise weight matrix and the initial regularization penalty factor, using a pre-established bone hardening iteration reconstruction model to carry out image iteration reconstruction and acquiring a reconstruction image subjected to the bone hardening correction. In this way, it is achieved that bone hardening artifacts are gradually eliminated in an image iteration reconstruction process; bone hardening artifacts in the iteration reconstruction image can be effectively reduced; and quality of the iteration reconstruction image is ensured.

Description

technical field [0001] Embodiments of the present invention relate to medical image processing technology, in particular to an image iterative reconstruction method and device. Background technique [0002] The X-ray used in the current computer tomography (Computed Tomography, CT) system is not an ideal monochromatic source, but an X-ray source with a certain spectral width, which makes the difference between the X-ray projection value and the length of the X-ray passing through the object The linear relationship is no longer satisfied, which leads to X-ray hardening artifacts in the reconstructed image. [0003] Usually, before image reconstruction, the original projection data will be corrected for ray hardening based on the water model, that is, water hardening correction. Water hardening correction will eliminate the X-ray hardening phenomenon of soft tissues, but cannot eliminate the ray hardening artifacts caused by human bones. That is, osteosclerosis artifact. [...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00G06T7/00G06T7/70
CPCG06T11/003G06T11/008G06T2211/416G06T2211/424
Inventor 王璐
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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