MAMMOGRAPHY SYSTEM AND IMAGING METHOD

20250064418

18/814574

August 25, 2024

A mammography system and a method for imaging at least part of a breast with the mammography system are disclosed. The method includes: 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 and 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.

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.

61; 61; 61

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