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A bone joint segmentation method, device, terminal and readable medium

A technology for bone joints to be segmented, applied in the field of medical image processing, can solve the problems of segmentation boundary leakage, segmentation of bone joints, incomplete segmentation of bone joints, etc., achieve the effect of reducing editing work, good results, and improving segmentation efficiency

Active Publication Date: 2022-02-22
SHANGHAI UNITED IMAGING HEALTHCARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Since the gray scale of the bone joint is similar to that of the surrounding soft tissue, neither of the above two methods can segment the bone joint very well, and it is easy to cause incomplete segmentation of the bone joint, leakage of the segmentation boundary, etc., requiring tedious follow-up editing work

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  • A bone joint segmentation method, device, terminal and readable medium
  • A bone joint segmentation method, device, terminal and readable medium
  • A bone joint segmentation method, device, terminal and readable medium

Examples

Experimental program
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Embodiment 1

[0032] figure 1 It is a flow chart of a bone joint segmentation method provided by Embodiment 1 of the present invention. This embodiment is applicable to bone joint segmentation. The method can be implemented by a terminal, specifically by software and / or hardware in the terminal. see figure 1 , the bone joint segmentation method includes the following steps:

[0033] S110. Acquire an image to be segmented.

[0034] Wherein, the terminal can obtain the image to be segmented by accessing the set storage path; wherein, the storage path can be a local storage path of the terminal, or can be a storage path of other terminals after establishing interaction with other terminals through a communication protocol.

[0035] S120. Determine the bone joint positioning frame in the image to be segmented based on the pre-trained positioning model.

[0036] Wherein, the pre-trained positioning model may be a random forest positioning model, or a positioning model determined through deep ...

Embodiment 2

[0071] On the basis of the above embodiments, this embodiment further describes the training process of the positioning model. It belongs to the same inventive concept as the bone joint positioning method proposed in the above embodiments. For technical details not described in detail in this embodiment, please refer to the above-mentioned Example.

[0072] Figure 5 It is a flow chart of a bone joint segmentation method provided by Embodiment 2 of the present invention. see Figure 5 , the bone joint segmentation method includes the following steps:

[0073] S510. Obtain a sample image;

[0074] S520. Mark the bone joint positioning frame in the sample pattern;

[0075] S530. Select a first number of sampling points in the sample image, calculate the distance between each sampling point and the marked bone joint positioning frame, and calculate a second number of sampling point features for each sampling point;

[0076] S540. Train the positioning model according to the ...

Embodiment 3

[0085] On the basis of the above-mentioned embodiments, this embodiment further describes the segmentation process of the remaining bone-joint regions except the first bone-joint region. For the detailed technical details described in the examples, please refer to the above-mentioned embodiments.

[0086] Figure 6 It is a flow chart of a bone joint segmentation method provided by Embodiment 3 of the present invention. see Figure 6 , the bone joint segmentation method includes the following steps:

[0087] S610. Acquire an image to be segmented;

[0088] S620. Determine the bone joint positioning frame in the image to be segmented based on the pre-trained positioning model;

[0089] S630. Perform iterative difference threshold growth in the bone joint positioning frame according to the growth condition to obtain the first bone joint area;

[0090] S640. Select a second seed point according to the first bone joint area and the bone joint positioning frame, and use the sec...

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Abstract

The embodiment of the present invention discloses a bone joint segmentation method, device, terminal and readable medium, wherein the method includes: acquiring an image to be segmented; determining a bone joint positioning frame in the image to be segmented based on a pre-trained positioning model; The first bone joint area is obtained by performing iterative difference threshold growth in the bone joint positioning frame according to the growth condition. The bone joint segmentation method, device, terminal and readable medium provided by the embodiments of the present invention have good bone joint segmentation effect, reduce subsequent editing work, and improve bone joint segmentation efficiency.

Description

technical field [0001] Embodiments of the present invention relate to medical image processing technologies, and in particular to a bone joint segmentation method, device, terminal and readable medium. Background technique [0002] In medical images, such as in computerized tomography (CT) images or magnetic resonance imaging (Magnetic Resonance Imaging, MRI), the bone-to-bone gap at the bone joint is small, and the gray scale of the bone joint is the same as The gray scale of the surrounding soft tissues is similar, which makes the segmentation of bone joints more difficult. [0003] The existing bone segmentation methods mainly include the following two types: first, based on the gray difference between bone tissue grayscale and soft tissue grayscale in medical images, the pixel points in the area where the bone tissue is located are marked as seed points; The gray value is grown from the seed point to realize the segmentation of bone tissue and soft tissue; the second is...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/187G06T7/11
Inventor 王誉吴柯
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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