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Model generation method, image processing method and medical imaging equipment

A model generation and model technology, applied in the field of image processing, can solve problems such as high cost and poor security, and achieve the effect of good security and cost reduction

Active Publication Date: 2020-12-04
SHANGHAI UNITED IMAGING HEALTHCARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In view of this, the embodiment of this solution provides a model generation method, an image processing method and a medical imaging device to solve the problems of poor security and high cost of DR devices with grids in the prior art

Method used

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  • Model generation method, image processing method and medical imaging equipment
  • Model generation method, image processing method and medical imaging equipment
  • Model generation method, image processing method and medical imaging equipment

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Experimental program
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Embodiment 1

[0066] figure 1 An example flow chart of the model generation method provided by the embodiment of the present invention. Such as figure 1 As shown, in this embodiment, the model generation method may include the following steps:

[0067] S101. Under specified imaging parameters, acquire first image data including scattering components, and acquire second image data corresponding to the first image data with suppressed scattering components.

[0068] S102. Decompose the first image data or related data of the first image data to obtain multiple sets of first decomposed data, decompose the second image data or related data of the second image data to obtain multiple sets of second decomposed data, The number of sets of the first analysis data is the same as the number of sets of the second analysis data. Optionally, the decomposition of the second image data or data related to the second image data is a decomposition corresponding to the decomposition of the first image data...

Embodiment 2

[0110] Through the model generation method in the foregoing embodiment 1, scatter correction models under various imaging parameters can be obtained. Using these scatter correction models, scatter correction can be performed on the DR image output by the DR device without a grid to remove the DR The scattering component in the image improves the DR image quality.

[0111] Wherein, the scattering correction models under various imaging parameters can be composed into a model library, and the model library is stored in the DR device or in an external device capable of data communication with the DR device. In this way, when the DR device needs to obtain the scatter correction model, it obtains the scatter correction model from the model library of the DR device itself or from the model library of the external device.

[0112] To this end, an embodiment of the present invention provides an image processing method.

[0113] Figure 4 It is an example diagram of the first flow ch...

Embodiment 3

[0125] The embodiment of the present invention also provides an image processing method.

[0126] Figure 5 It is an example diagram of the second flow chart of the image processing method provided by the embodiment of the present invention. Such as Figure 5 As shown, in this embodiment, the image processing method may include the following steps:

[0127] S501. Acquire an image to be processed including a scattering component.

[0128] S502. Decompose the image to be processed into multi-band images from high to low according to frequency.

[0129] S503. Perform scatter correction on the multi-band image by using a neural network-based scatter correction model to obtain a corrected multi-band image.

[0130] S504. Merge the corrected multi-band images to form an output image.

[0131] In an exemplary implementation process, the neural network-based scatter correction model is obtained by acquiring a plurality of training data pairs, each training data pair including the...

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Abstract

Embodiments of the invention provide a model generation method, an image processing method, and a medical imaging device. The model generation method comprises: under an assigned imaging parameter, obtaining first image data including a scattering component, and second image data in which a scattering component is suppressed, decomposing a first data image or related data of the first data image,a second data image or related data of the second data image, to respectively obtain decomposed data, according to the decomposed data, obtaining training data, according to the training data, using aneural network to perform machine learning, to generate a scattering correction model based on the neural network, corresponding to the assigned imaging parameter, the model being used to perform scattering correction on a DR image. Radiation dosage of X-ray does not need to be increased, and the method is good in security. A grid is not needed to be added in a DR device, and cost of the DR device can be reduced. The method solves problems in the prior art that security of the DR device with the grid is relatively bad and cost is relatively high to certain extent.

Description

【Technical field】 [0001] The solution relates to the technical field of image processing, in particular to a model generation method, an image processing method and medical imaging equipment. 【Background technique】 [0002] DR (Digital Radiography, digital X-ray photography) equipment is an important medical imaging equipment. DR equipment uses X-rays with strong penetrating ability to irradiate the target to be detected, and collects X-rays that pass through the target to be detected through the X-ray detector for imaging. [0003] When the target to be detected is irradiated with high-energy X-rays, after the X-rays pass through the target to be detected, not only primary radiation but also scattered radiation are generated. Scattered radiation will produce additional exposure, which is superimposed on the radiographic image like "scattering fog", thereby reducing the contrast and clarity of the radiographic image, and also reducing the signal-to-noise ratio of the subtle...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B6/00G06N3/04G06T5/50
Inventor 宋燕丽周鑫邢潇丹陈刚李强
Owner SHANGHAI UNITED IMAGING HEALTHCARE