An intelligent positioning method for optimal placement of pedicle screws

A pedicle screw and intelligent positioning technology, applied in the medical field, can solve the problems of difficulty in promotion and high instability, and achieve the effects of reducing the screw dislocation rate, having discrimination and being robust.

Active Publication Date: 2020-11-03
NINGBO INST OF TECH ZHEJIANG UNIV ZHEJIANG
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Problems solved by technology

Some of these methods are easy to cause harm to the human body due to anesthetics, physical rays, etc., while others rely on experience, are not easy to promote and have high instability

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  • An intelligent positioning method for optimal placement of pedicle screws

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Embodiment Construction

[0023] An intelligent positioning method for optimal placement of pedicle screws according to the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0024] Such as figure 1 As shown, an intelligent positioning method for optimal placement of pedicle screws, including steps:

[0025] S1. Obtain CT scan pictures of multiple groups of human pedicles, and construct a three-dimensional mesh model M of the CT scan pictures. i (i=1,2,...,a), a is a positive integer;

[0026] S2. Calculating the 3D mesh model M i Every vertex on The eigenvectors of Among them, n (i) is a positive integer, representing the 3D mesh model M i The number of vertices on , m is the feature dimension of each vertex, label each feature vector the corresponding vector labels

[0027] S3. All three-dimensional mesh models M i all vertices on Corresponding eigenvectors Form a set S, use the set S as a training sample, an...

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Abstract

The invention provides an intelligent positioning method for the optimal screw placement point of a pedicle screw. The method is characterized in that the method comprises the following steps: S1, acquiring a plurality of CT scanning pictures of human pedicles, and constructing a three-dimensional mesh model Mi (i=1, 2,..., a) of the CT scanning pictures; S2, calculating the eigenvector F<j><(i)>of each vertex V<j><(i)>on the three-dimensional mesh model Mi, and indicating the vector label L<j><(i)> corresponding to each eigenvector F<j><(i)>; S3, training and learning the set S and the corresponding training labels by using the depth neural network algorithm, and obtaining the depth neural network model; S4, obtaining a human pedicle three-dimensional mesh model to be positioned, obtaining a feature vector of the three-dimensional mesh model to be positioned, inputting the feature vector into a depth neural network model to obtain one-to-one corresponding label results, and obtaining an optimal screw placement point position in the three-dimensional mesh model to be positioned according to the label results. The above method solves the problem of intelligent generation of optimal nailing point positioning.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to an intelligent positioning method for optimal placement of pedicle screws. Background technique [0002] Pedicle screw internal fixation is an effective method for spinal surgery such as spinal reduction, but the structure of the pedicle is complex and changeable. structure. Accurate implantation of a pedicle screw of appropriate length is very critical. If the position of the implanted pedicle screw deviates greatly, it will damage the adjacent important tissue structure and cause serious surgical complications. Therefore, the positioning method of the pedicle screw placement position is the key to various spinal operations. [0003] When setting the optimal screw point for positioning, the most commonly used methods in the prior art are anatomical landmark method, laminectomy method, C-arm fluoroscopy-assisted screw placement, X-ray fluoroscopy and other methods relying on p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B90/11A61B34/10A61B17/70G16H20/40G16H50/50
CPCA61B17/70A61B34/10A61B90/11A61B2034/101A61B2034/105A61B2034/108G16H20/40G16H50/50
Inventor 舒振宇龚梦航袁翔庞超逸许立波杨思鹏
Owner NINGBO INST OF TECH ZHEJIANG UNIV ZHEJIANG
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