Compatibility mesh segmentation based skeleton parameter computation method

Abstract

The invention discloses a compatibility mesh segmentation based skeleton parameter computation method. The method includes: firstly, combining specific medical priori knowledge to extract some feature points for skeleton models; secondly, performing medical semantic segmentation on the skeleton models on the basis of the feature points; thirdly, directing similar skeleton models to be subjected to fast compatibility segmentation through a template obtained by segmentation by virtue of Laplacian deformation based non-rigid registration; finally, according to a mesh segmentation result, creating a subregion adjacent map and computing main morphological parameters of skeletons. By the method, a user can perform fast compatibility segmentation on the similar skeleton models similar in structure. Furthermore, compared with a conventional measurement method, the method has the advantages that both precision and efficiency for computing to obtain the skeleton parameters according to the mesh segmentation result are improved, and the method is particularly suitable for parameter measurement of large-batch skeleton models.

Description

technical field [0001] The invention belongs to the technical field of computer graphics, in particular to the compatibility segmentation of feature points and template-guided skeletal mesh models and a parameter calculation method based on the segmentation results. Background technique [0002] In the medical field, accurate bone morphology parameters are of great significance for guiding surgery and prosthesis manufacturing. In particular, the variation range of the shape and size of the femur is the basis and basis for the serialization and standardized design of the prosthesis, which plays an important role in orthopedic operations such as artificial hip replacement and registration and reduction of broken bones. [0003] Measuring bone parameters is one of the important research contents in medical image processing, and it is also a classic problem. The main reason why bone parameters are difficult to measure is that its geometric properties are very complex and its sh...

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Problems solved by technology

[0004] There have been many reports on bone parameters measurement at home and abroad. Most of the measurement methods used in the literature, whether using X-ray film or CT measurement, are mainly based on a 2D projection image and ignore the 3D overall bone model. The characteristics are all manual measurement in essence. Due to the influence of factors such as imaging methods or measurement methods, it is not easy to measure objective and accurate results.

There are also a few literatures that propose an automatic measurement method based on X-ray films or use reverse engineering software for calculation, which improves the measurement efficiency and accuracy to a certain extent, but the calculation framework is quite complicated, especially when it comes to the parameter determination of a large number of bone models , the cost is high

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