A Femur Model Registration Method Oriented to Bone Shape Averaging

Abstract

The invention discloses a femur model registration method oriented to bone shape averaging, which comprises the following steps: Step 1: selecting multiple bone models of the same type as samples; using a bilateral filtering algorithm based on the surface normal to preprocess the models; Vector and curvature extract the geometric feature points of the bone surface, and create a geometric feature model; Step 2: Solve the centroid of each sample model, solve the initial transformation matrix, and realize the centroid alignment of the sample model; use the rigid registration algorithm to rotate the other sample geometric feature models to the reference Model, solve the geometric deformation matrix, and realize the preliminary registration of geometric features; Step 3: Fit and create the internal feature points of the bone; extract the salient feature points on the bone surface with medical semantics, construct anatomical feature points based on the internal and surface feature points; solve the bone Fine registration transformation matrix; perform rigid transformation on the initial bone model according to the three matrices of initial, geometric and fine, and realize the automatic alignment of the sample bone model.

Description

technical field [0001] The invention relates to a registration method of a femur model, in particular to a registration method of a femur model oriented to bone shape averaging. Background technique [0002] In the surgical treatment of human bone lesions and necrosis, bone prosthesis implantation has become one of the important methods for orthopedic surgical treatment and recovery of patient's activities. The averaged bone model provides an important reference for the representation of typical bone shape and prosthesis design of the same population. An important prerequisite for the construction of the averaged bone model is to register multiple bone sample models to a unified coordinate system, that is, to achieve anatomical alignment of the bone model. Existing related work mainly relies on rigid registration at the purely geometric level, and is oriented towards the anatomical alignment of large-scale point cloud data models. Modeling is time-consuming and inefficient;...

AI Technical Summary

Problems solved by technology

Existing related work mainly relies on rigid registration at the purely geometric level, and is oriented towards the anatomical alignment of large-scale point cloud data models. Modeling is time-consuming and inefficient; second, the lack of description of bone anatomical features makes it difficult to ensure the medical semantics of model registration results

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