Method, apparatus and device for image registration of bone structures

By using joint kinematics models and inter-bone collision constraints, the problems of high solution dimensionality and complex operation in existing multimodal image registration methods are solved, achieving fast and accurate registration of multiple bone structures and improving registration speed and accuracy.

CN122115524AActive Publication Date: 2026-05-29YUANHUA ORTHOPAEDIC ROBOTICS (SHENZHEN) LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
YUANHUA ORTHOPAEDIC ROBOTICS (SHENZHEN) LTD
Filing Date
2026-04-29
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In preoperative planning and lesion extent assessment of bone tumors, existing multimodal image registration methods rely on manual markers, automatic segmentation, or deep learning, which leads to complex operation, insufficient computational stability, and failure to fully utilize joint connectivity, resulting in high solution dimensionality and great optimization difficulty.

Method used

By constructing a joint kinematic model, the cross-modal registration of multi-bone structures is transformed into a constrained low-dimensional optimization problem. By utilizing joint connection relationships and inter-bone collision and contact constraints, manual operations are reduced, and the consistency and feasibility of the registration process are improved.

Benefits of technology

It enables fast and accurate multi-bone structure registration without relying on manual markers and automatic segmentation, reducing the probability of incorrect registration results and improving registration speed and accuracy.

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Abstract

The application is suitable for the field of computer-aided surgery technology and medical image processing technology, and provides an image registration method, device and equipment of bone structure, which comprises the following steps: acquiring a first pose of a first bone structure in a first coordinate system corresponding to a first image; constructing a joint kinematics model based on the positional relationship between the first bone structure and a second bone structure in a second image; generating a candidate pose of the second bone structure in the first coordinate system according to the joint kinematics model; establishing an interosseous collision and contact constraint term based on the candidate pose; and constructing an image response index based on a candidate bone surface of the second bone structure under the candidate pose; establishing an objective function according to the image response index and the interosseous collision and contact constraint term; and obtaining a registration result of the first bone structure and the second bone structure in the first image by solving the objective function. By using the above method, the degrees of freedom of the bone structure can be reduced, and the consistency and realizability of the multi-bone structure registration process can be improved.
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Citation Information

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