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Acetabulum bone defect assessment method and device, storage medium and processor

A technology of acetabular bone and acetabulum, applied in the evaluation method and device of acetabular bone defect, storage medium and processor field, can solve the problem of low accuracy of evaluation results, and achieve the effect of improving evaluation accuracy

Inactive Publication Date: 2019-05-07
BEIJING AKEC MEDICAL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide an evaluation method and device, a storage medium, and a processor for acetabular bone defects, so as to at least solve the problem of accuracy of evaluation results due to X-rays are used to evaluate acetabular bone defects in related technologies. lower technical issues

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  • Acetabulum bone defect assessment method and device, storage medium and processor
  • Acetabulum bone defect assessment method and device, storage medium and processor
  • Acetabulum bone defect assessment method and device, storage medium and processor

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Embodiment 1

[0025] According to an embodiment of the present invention, a method for evaluating acetabular bone defect is provided, such as figure 1 As shown, the method includes:

[0026] S102, acquiring three-dimensional image data of the acetabular bone site to be evaluated;

[0027] S104, adjusting the 3D image data to a preset viewing angle to obtain 3D image data under the preset viewing angle;

[0028] S106. Evaluate the 3D image data at a preset viewing angle based on the acetabular bone recognition neural network model, and obtain the evaluation result, wherein the acetabular bone recognition neural network model is the 3D image data at a preset number of preset viewing angles. obtained by training.

[0029] In the related art, the most important problem facing the acetabular side reconstruction in hip arthroplasty is acetabular bone defect. Clinically, the acetabular side reconstruction strategy of hip arthroplasty for patients with mild acetabular bone defect is relatively co...

Embodiment 2

[0047] According to an embodiment of the present invention, there is also provided an evaluation device for acetabular bone defect for implementing the above method for evaluating acetabular bone defect, such as image 3 As shown, the device includes:

[0048] 1) an acquisition unit 30, configured to acquire three-dimensional image data of the acetabular bone site to be evaluated;

[0049] 2) an adjustment unit 32, configured to adjust the 3D image data to a preset viewing angle, to obtain 3D image data under the preset viewing angle;

[0050] 3) The evaluation unit 34 is configured to evaluate the three-dimensional image data under the preset viewing angle based on the acetabular bone recognition neural network model, and obtain an evaluation result, wherein the acetabular bone recognition neural network model is preset The number of 3D image data under the preset viewing angle is obtained by training

[0051] Optionally, in this embodiment, the acquisition unit 30 includes...

Embodiment 3

[0056] According to an embodiment of the present invention, there is also provided a storage medium for implementing the above method for assessing acetabular bone defect, the storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled Perform the assessment method for acetabular bone defect as described above.

[0057] Optionally, in this embodiment, the storage medium is configured to store program codes for performing the following steps:

[0058] S1, acquiring three-dimensional image data of the acetabular bone site to be evaluated;

[0059] S2. Adjust the 3D image data to a preset viewing angle to obtain 3D image data under the preset viewing angle;

[0060] S3. Evaluate the three-dimensional image data under the preset viewing angle based on the acetabular bone recognition neural network model, and obtain an evaluation result, wherein the acetabular bone recognition neural network model is o...

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Abstract

The invention discloses an acetabular bone defect assessment method and device, a storage medium and a processor. The method comprises the following steps: acquiring three-dimensional image data of ato-be-evaluated acetabular bone part; Adjusting the three-dimensional image data to a preset visual angle to obtain three-dimensional image data under the preset visual angle; And based on the acetabulum bone recognition neural network model, evaluating the three-dimensional image data under a preset visual angle to obtain an evaluation result. The technical problem that in the prior art, X-rays are adopted for evaluating acetabular bone defects, and consequently the evaluation result is low in accuracy is solved.

Description

technical field [0001] The present invention relates to the field of medical technology, in particular to an evaluation method and device for acetabular bone defect, a storage medium and a processor. Background technique [0002] As patients undergoing total hip arthroplasty age and become more active, the number of hip revision surgeries continues to increase. There are many reasons for the failure of primary total hip arthroplasty and the need for hip revision surgery, including infection, wear of the polyethylene liner of the prosthesis, and habitual dislocation of the prosthesis. Periprosthetic osteolysis caused by prosthetic wear debris, which in turn leads to aseptic loosening of the prosthesis, is always the main reason for hip revision surgery. In the face of hip revision after primary hip replacement failure, the surgical strategy and surgical technique for acetabular defect repair and reconstruction are one of the challenges for orthopedic surgeons. [0003] The ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T17/00G06N3/08
Inventor 庞博
Owner BEIJING AKEC MEDICAL
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