Human body three-dimensional skeleton model marking method based on data driving and template guiding

A skeletal model, data-driven technology, applied in the field of digital medicine, can solve the problems of time-consuming and labor-intensive, low degree of automation, inability to meet the actual needs of 3D, and achieve the effect of effective integration and processing with high degree of automation.
CN112200819APending Publication Date: 2021-01-08HOHAI UNIV

Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
HOHAI UNIV
Publication Date
2021-01-08

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Abstract

The invention discloses a human body three-dimensional skeleton model marking method based on data driving, and the method comprises the steps: firstly converting skeleton CT scanning data into a skeleton grid model, carrying out the manual segmentation marking, and outputting a normal vector of each point and a three-dimensional coordinate of a label information combination point to a text file through employing a mapping algorithm; and training the mapped data through a multi-level PointNet++ network model to obtain a coarse-to-fine skeleton region segmentation network model, inputting the corresponding data into the hierarchically segmented PointNet++ network model to obtain a rough skeleton model segmentation result, and performing graph segmentation on the rough skeleton model segmentation result to optimize a boundary segmentation result; further extracting an anatomical mark of the skeleton template through a PointNet++ network, fitting the skeleton template to an outer surfacearea by matching the anatomical mark, mapping the anatomical mark on the template to a target skeleton, and finally obtaining a skeleton classification result and the corresponding anatomical mark.
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Description

technical field

[0001] The invention belongs to the field of digital medical treatment, and in particular relates to a method for marking a three-dimensional skeleton model of a human body based on data drive and template guidance. Background technique

[0002] With the development of digital medical care and big data, digital orthopedic technology and clinical research models have been deeply integrated, gradually developing from empirical, fuzzy, and manual to standardization, precision, and automation, and providing the next generation of preoperative planning technology As a powerful tool, digital 3D preoperative planning can help doctors effectively overcome visual limitations, improve the accuracy of data measurement, and make diagnosis more accurate and efficient. Among them, the data-driven and template-guided human 3D bone model marking method can effectively help doctors solve common orthopedic case types, accurately plan the scope of surgery, and provide reference...

Claims

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