Granted Patent B2

US 12,721,582 · App. 18/814,574 · Granted Sep 1, 2026

Inventors: Yu Zhang (Shanghai, CN); Juan Feng (Shanghai, CN); Jie Niu (Shanghai, CN)

Assignee: Shanghai United Imaging Healthcare Co., Ltd.

A61B6/502A61B6/483A61B6/583

Abstract

Claims (66)

1 . A method for imaging at least part of a breast with a mammography system, the method comprising:

obtaining pre-exposure images respectively corresponding to a plurality of phantoms by performing pre-exposure for each of the plurality of phantoms with a respective predetermined dosage, each phantom having its respective compression thickness and component composition;

determining a relationship among a target grayscale, the compression thickness, and the component composition by performing de-scattering processing on each pre-exposure image based on the compression thickness and the component composition of the phantom corresponding to the pre-exposure image;

determining a target dosage for a target breast based on a compression thickness of the target breast, a component composition of the target breast, and the relationship; and

acquiring a main exposure image by performing exposure for the target breast based on the target dosage, the main exposure image having the target grayscale.

2 . The method of claim 1 , wherein performing de-scattering processing on each pre-exposure image based on the compression thickness and the component composition of the phantom corresponding to the pre-exposure image comprises:

determining a first scatter kernel corresponding to the phantom, based on the compression thickness and the component composition of the phantom; and

performing de-scattering iterative processing on the pre-exposure image, based on the first scatter kernel corresponding to the phantom.

3 . The method of claim 2 , wherein performing de-scattering iterative processing on the pre-exposure image, based on the first scatter kernel corresponding to the phantom, comprises:

obtaining a scattering image corresponding to the pre-exposure image by performing a convolution operation on the pre-exposure image and the first scatter kernel;

obtaining a primary beam image corresponding to the phantom, based on the pre-exposure image and the scattering image; and

updating the first scatter kernel based on a determination that the primary beam image fails to satisfy a convergence condition, until the primary beam image satisfies the convergence condition.

4 . The method of claim 3 , wherein obtaining a primary beam image corresponding to the phantom, based on the pre-exposure image and the scattering image, comprises:

subtracting the scattering image from the pre-exposure image to obtain the primary beam image corresponding to the phantom.

5 . The method of claim 3 , wherein the convergence condition is that an error between the obtained primary beam image and a measured primary beam image is less than a predetermined error threshold.

6 . The method of claim 1 , wherein determining the target dosage for the target breast based on the compression thickness and the component composition of the target breast, and the relationship, comprises:

determining a target grayscale corresponding to the target breast, based on the compression thickness and the component composition of the target breast, and the relationship; and

determining the target dosage based on the target grayscale.

7 . The method of claim 1 , wherein acquiring the main exposure image by performing exposure for the target breast based on the target dosage, comprises:

determining an exposure parameter based on the target dosage; and

performing the exposure for the target breast based on the exposure parameter, to obtain the main exposure image.

8 . The method of claim 1 , further comprising:

determining a second scatter kernel corresponding to the target breast, based on the compression thickness and the component composition of the target breast; and

performing de-scattering iterative processing on the main exposure image, based on the second scatter kernel.

9 . The method of claim 8 , further comprising:

denoising the main exposure image after the de-scattering iterative processing has been completed.

10 . A mammography system, comprising:

a scanning device configured to:

generate pre-exposure images respectively corresponding to a plurality of phantoms by performing pre-exposure for each of the plurality of phantoms with a respective predetermined dosage, each phantom having its respective compression thickness and component composition; and

generate a main exposure image by performing exposure for a target breast based on a target dosage; and

a processing device configured to:

acquire the pre-exposure images from the scanning device;

determine a relationship among a target grayscale, the compression thickness and the component composition by performing de-scattering processing on each pre-exposure image based on the compression thickness and the component composition of the phantom corresponding to the pre-exposure image;

determine a target dosage for a target breast based on a compression thickness and a component composition of the target breast, and the relationship; and

acquire the main exposure image from the scanning device.

11 . The mammography system of claim 10 , wherein performing de-scattering processing on each pre-exposure image based on the compression thickness and the component composition of the phantom corresponding to the pre-exposure image comprises:

determining a first scatter kernel corresponding to the phantom, based on the compression thickness and the component composition of the phantom; and

performing de-scattering iterative processing on the pre-exposure image, based on the first scatter kernel corresponding to the phantom.

12 . The mammography system of claim 11 , wherein performing de-scattering iterative processing on the pre-exposure image, based on the first scatter kernel corresponding to the phantom, comprises:

obtaining a scattering image corresponding to the pre-exposure image by performing a convolution operation on the pre-exposure image and the first scatter kernel;

obtaining a primary beam image corresponding to the phantom, based on the pre-exposure image and the scattering image; and

updating the first scatter kernel based on a determination that the primary beam image fails to satisfy a convergence condition, until the primary beam image satisfies the convergence condition.

13 . The mammography system of claim 10 , wherein determining the target dosage for the target breast based on the compression thickness and the component composition of the target breast, and the relationship, comprises:

determining a target grayscale corresponding to the target breast, based on the compression thickness and the component composition of the target breast, and the relationship; and

determining the target dosage based on the target grayscale.

14 . The mammography system of claim 10 , wherein the processing device is further configured to:

determine an exposure parameter based on the target dosage; and

transmit the exposure parameter to the scanning device.

15 . The mammography system of claim 10 , wherein the processing device is further configured to:

determine a second scatter kernel corresponding to the target breast, based on the compression thickness and the component composition of the target breast; and

perform de-scattering iterative processing on the main exposure image, based on the second scatter kernel.

16 . A method for imaging at least part of a breast with a mammography system, the method comprising:

obtaining a relationship among a target grayscale, a compression thickness, and a component composition;

determining a target dosage for a target breast based on the relationship, a compression thickness of the target breast, and a component composition of the target breast; and

performing exposure for the target breast based on the target dosage.

17 . The method of claim 16 , wherein the relationship is obtained by:

obtaining pre-exposure images respectively corresponding to a plurality of phantoms by performing pre-exposure for each of the plurality of phantoms with a respective predetermined dosage, each phantom having its respective compression thickness and component composition; and

determining the relationship among the target grayscale, the compression thickness and the component composition by performing de-scattering processing on each pre-exposure image based on the compression thickness and the component composition of the phantom corresponding to the pre-exposure image.

18 . The method of claim 16 , wherein the relationship is obtained via artificial intelligence (AI).

19 . The method of claim 17 , wherein performing de-scattering processing on each pre-exposure image based on the compression thickness and the component composition of the phantom corresponding to the pre-exposure image comprises:

determining a first scatter kernel corresponding to the phantom, based on the compression thickness and the component composition of the phantom; and

performing de-scattering iterative processing on the pre-exposure image, based on the first scatter kernel corresponding to the phantom.

20 . The method of claim 19 , wherein performing de-scattering iterative processing on the pre-exposure image, based on the first scatter kernel corresponding to the phantom, comprises:

obtaining a scattering image corresponding to the pre-exposure image by performing a convolution operation on the pre-exposure image and the first scatter kernel;

obtaining a primary beam image corresponding to the phantom, based on the pre-exposure image and the scattering image; and

updating the first scatter kernel based on a determination that the primary beam image fails to satisfy a convergence condition, until the primary beam image satisfies the convergence condition.

Assignments (1)

Priority Claims (1)

Continuity (1)

References Cited (11)