Method, device, and system for processing medical image

Patent metadata

Field	Value
Publication number	US-12394057-B2
Application number	US-202217822259-A
Country	US
Kind code	B2
Filing date	Aug 25, 2022
Priority date	Aug 25, 2021
Publication date	Aug 19, 2025
Grant date	Aug 19, 2025

Abstract

Provided is a method for processing a medical image. In the method, a processing result is acquired by processing, without acquiring a user operation, an acquired medical image of a target object, and subsequently, the processing result is output in response to acquiring a user operation triggered by a user for viewing a processed medical image.

First claim

What is claimed is:

1. A method for processing a medical image, comprising:
acquiring a medical image of a target object;
determining an image type of the medical image of the target object; and
determining an image processing mode corresponding to the medical image of the target object based on the image type of the medical image of the target object and a predetermined corresponding relationship, wherein the predetermined corresponding relationship is a predefined corresponding relationship between the image type and the image processing mode;
acquiring a processing result by processing, without acquiring a user operation, the medical image using the image processing mode corresponding to the medical image of the target object; and
outputting the processing result in response to acquiring a user operation triggered by a user for viewing a processed medical image;
wherein the image type of the medical image of the target object comprises:
type I: an image acquired by imaging the target object using a same imaging mode in a same time period;
type II: an image acquired by imaging the target object using the same imaging mode in different time periods;
type III: an image acquired by imaging the target object using different imaging modes in the same time period; and
type IV: an image acquired by imaging the target object using different imaging modes in different time periods.

2. The method according to claim 1 , wherein
the medical image of the target object comprises a first medical image and a second medical image;
in the case that the image types of both the first medical image and the second medical image are type II, type III or type IV, acquiring the processing result by processing the medical image using the image processing mode corresponding to the medical image of the target object comprises:
automatically registering the first medical image and the second medical image;
acquiring a contour of at least one medical image by automatically contouring at least one of the first medical image and the second medical image;

and outputting the processing result in response to acquiring the user operation triggered by the user for viewing the processed medical image comprises:
outputting, in response to acquiring a first user operation triggered by the user for viewing a contoured image of the target object, the contoured image of the target object, wherein the contoured image of the target object is a superimposed image of an automatically registered first medical image and/or an automatically registered second medical image with the contour of the at least one medical image.

3. The method according to claim 2 , wherein acquiring the contour of the at least one medical image by automatically contouring at least one of the first medical image and the second medical image comprises:
acquiring the contour of the at least one medical image by automatically contouring at least one of the automatically registered first medical image and the automatically registered second medical image.

4. The method according to claim 2 , wherein prior to acquiring the first user operation triggered by the user for viewing the contoured image of the target object, the method further comprises:
acquiring the contoured image of the target object by superposing the automatically registered first medical image and/or the automatically registered second medical image with the contour of the at least one medical image; and
saving the contoured image of the target object.

5. The method according to claim 2 , wherein in the case that the image types of both the first medical image and the second medical image are type II or type IV, the method further comprises:
determining a deformation degree of the target object in different time periods; and
outputting a prompt information in response to the deformation degree being greater than a predetermined deformation degree, wherein the prompt information is configured to prompt the user whether to modify a treatment plan for the target object.

6. The method according to claim 5 , wherein determining the deformation degree of the target object in different time periods comprises:
determining the deformation degree of the target object in different time periods based on a deformation field acquired by automatic non-rigid registration of the first medical image and the second medical image;
determining the deformation degree of the target object in different time periods based on an overlap of a first contour of the first medical image and the second medical image in the superimposed image; or
determining the deformation degree of the target object in different time periods based on an overlap of a second contour of the second medical image and the first medical image in the superimposed image.

7. The method according to claim 5 , further comprising:
acquiring feedback information triggered by the user as to whether to modify the treatment plan for the target object; and
adjusting the predetermined deformation degree based on the feedback information.

8. The method according to claim 5 , wherein
the first medical image is a planned image in the treatment plan for the target object, and the second medical image is a real-time image acquired by an imaging apparatus of a radiation treatment device;
acquiring the contour of the at least one medical image by automatically contouring at least one of the first medical image and the second medical image comprises:
acquiring a first contour of the first medical image by automatically contouring the first medical image;

and in the case that the deformation degree is greater than the predetermined deformation degree, the method further comprises:
acquiring a second contour of the second medical image by automatically contouring the second medical image.

9. The method according to claim 5 , wherein
the first medical image is a planned image in the treatment plan for the target object, and the second medical image is a real-time image acquired by an imaging apparatus of a radiation treatment device;
acquiring the contour of the at least one medical image by automatically contouring at least one of the first medical image and the second medical image comprises:
acquiring a first contour of the first medical image by automatically contouring the first medical image;

and in the case that the deformation degree is greater than the predetermined deformation degree, and the feedback information triggered by the user for modifying the treatment plan for the target object is acquired, the method further comprises:
acquiring a second contour of the second medical image by automatically contouring the second medical image.

10. The method according to claim 5 , wherein
the first medical image is a planned image in the treatment plan for the target object, and the second medical image is a real-time image acquired by an imaging apparatus of a radiation treatment device;
acquiring the contour of the at least one medical image by automatically contouring at least one of the first medical image and the second medical image comprises:
acquiring a first contour of the first medical image by automatically contouring the first medical image;

and in the case that the deformation degree is greater than the predetermined deformation degree, the method further comprises:
acquiring a second contour of the second medical image by adjusting the first contour based on a deformation field acquired by automatic non-rigid registration of the first medical image and the second medical image.

11. The method according to claim 5 , wherein
the first medical image is a planned image in the treatment plan for the t

Assignees

• Our United Corp

Inventors

• Yan Hao
• Wang Wen
• Yang Weiqun
• He Ningwei
• Siqin Gaowa
• Li Jinsheng

Classifications

• G06T7/13

  Edge detection · CPC title

• G16H30/40 Primary

  for processing medical images, e.g. editing · CPC title

• G06T2207/30004

  Biomedical image processing · CPC title

• G06T7/337

  involving reference images or patches · CPC title

• A61B2017/00725

  Calibration or performance testing · CPC title