Human body lower limb registration method applied to mechanical axis navigation system

Abstract

The invention discloses a human body lower limb registration method applied to a mechanical axis navigation system. The method comprises the following steps that: (1) human body lower limb CT data are obtained through scanning, a human body lower limb three-dimensional model is reconstructed according to the obtained human body lower limb CT data, and the human body lower limb three-dimensional model is saved as an STL grid model by means of a high-precision storage mode, so that the STL grid model can be used for subsequent data processing; (2) bone surface point cloud data in the human body lower limb three-dimensional model are extracted through a feature point extraction algorithm, so that feature points to be matched on the surface of the three-dimensional model are obtained, the bone surface point cloud data are stored so as to be used for subsequent matching; (3) an optical tracking device is adopted to obtain diseased bone feature area point cloud data, and the diseased bone feature area point cloud data are preprocessed, so that smooth diseased bone characteristic area point cloud data can be obtained; (4) the step (2) is repeated, so that the space coordinates of the feature points of diseased bone specified area point cloud data are extracted; and (5) a three-point registration algorithm is used to realize the spatial registration of a diseased bone model and a diseased bone. With the method adopted, the registration time of feature points can be effectively shortened, and the efficiency of an operation is high.

Description

technical field [0001] The invention relates to a registration method for human lower limbs in a mechanical axis navigation system, in particular to a registration method for human lower limbs during an operation. Background technique [0002] Registration is a key link in the real-time navigation system of computer-assisted surgery based on medical images. The intraoperative registration of medical images refers to the use of spatial positioning devices to obtain the position information of the surgical object's bone, combined with the bone model of the preoperative three-dimensional reconstruction in the navigation system. Position information, and then establish the space conversion relationship between the two, so as to ensure the one-to-one correspondence between the position of the operation space and the position of the image space, so as to guide the operation process in real time. Therefore, the efficiency and accuracy of the registration method determine the effici...

AI Technical Summary

Problems solved by technology

These algorithms mainly have the following deficiencies: 1) The influence of the geometric shape of the registration model on the registration algorithm is not considered

The point cloud data setting in the initial model is relatively concentrated, and long bone registration is not suitable; 2) During the surgical registration process, more registration points are required, which increases the time for surgical p

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