Hip joint image processing method based on deep learning and computing equipment

A technology of image processing and computing equipment, applied in the field of image processing, can solve the problems of inaccurate results, reduce the difficulty of surgery, and the inability to evaluate the spatial position of the prosthesis, etc., and achieve the effect of shortening the learning curve

Active Publication Date: 2020-05-19
张逸凌 +2
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Problems solved by technology

The traditional planning method uses the prosthesis template to compare on the X-ray film, because the scale of the X-ray and the template is not uniform, the planning result cannot accurately predict the actual size of the prosthesis used during the operation, and the traditional method cannot display three-dimensional parameters and cannot evaluate the prosthesis For the spatial location of the placement, the surgeon uses the traditional method for preoperative planning, which takes a long time, and there

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  • Hip joint image processing method based on deep learning and computing equipment
  • Hip joint image processing method based on deep learning and computing equipment
  • Hip joint image processing method based on deep learning and computing equipment

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[0032] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0033] figure 1 Is a block diagram of an example computing device 100. In the basic configuration 102, the computing device 100 typically includes a system memory 106 and one or more processors 104. The memory bus 108 may be used for communication between the processor 104 and the system memory 106.

[0034] Depending on the desired configuration, the processor 104 may be any type of processor, including but ...

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Abstract

The invention discloses a hip joint image processing method based on deep learning, and the method is suitable for being executed in computing equipment, and comprises the steps: obtaining hip joint information corresponding to a hip joint to be subjected to an operation, and enabling the hip joint information to comprise a hip joint image of the hip joint and operation information related to theoperation; inputting the hip joint image into a hip joint segmentation model assembly determined from the operation information, and obtaining a three-dimensional skeleton model image only comprisinga skeleton; labelling the positions of key points in a three-dimensional skeleton model image to generate a labeled skeleton image with labeled data. By the adoption of the three-dimensional measurement system and method, three-dimensional measurement data with high accuracy can be provided for prosthesis replacement before a total hip replacement operation is conducted.

Description

Technical field [0001] The present invention relates to the field of image processing technology, in particular to a hip joint image processing method and computing equipment based on deep learning. Background technique [0002] With the rapid development of digital medicine, the application of digital technology in surgical operations is becoming more and more important. Digital surgical planning overcomes the visual limitations of surgeons, making data measurement more accurate, diagnosis more accurate, and surgery more accurate and efficient. . [0003] For orthopedic surgery (for example, hip replacement surgery), traditional methods use a combination of X-ray films and prosthetic templates to plan and formulate surgical plans before surgery. The traditional planning method uses the prosthesis template to compare on the X-ray film, because the X-ray and the template scale are not uniform, the planning result cannot accurately predict the actual size of the prosthesis during th...

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Application Information

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IPC IPC(8): G06T7/73G06T7/11G06T7/00G06T17/00G06N20/00
CPCG06T17/00G06T7/0012G06T7/75G06T7/11G06N20/00G06T2207/30204G06T2207/20081
Inventor 张逸凌柴伟刘星宇安奕成
Owner 张逸凌
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