Surgical navigation positioning system and method

By using denoising algorithms, algorithm three-dimensional modeling and adversarial training information restoration technology in the surgical navigation and positioning system, the problems of image registration, modeling accuracy and real-time navigation information loss are solved, and the accuracy and security of the system are improved.

WO2025059980A1 Publication Date: 2025-03-27CENT SOUTH UNIV
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Patent Information

Application Number
PCT/CN2023/120342
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Filing Date
2023-09-21
Publication Date
2025-03-27

AI Technical Summary

Technical Problem

The existing surgical navigation and positioning systems are susceptible to noise interference during image registration, loss of image details, insufficient accuracy of three-dimensional modeling, and information loss due to instrument occlusion in real-time navigation.

Method used

Data preprocessing is performed using denoising algorithms to preserve details and remove noise while improving registration accuracy; algorithms are used for three-dimensional body drawing to improve modeling accuracy; information restoration algorithms based on adversarial training are used, and lost image information is also blocked.

Benefits of technology

Improves the accuracy, accuracy and safety of surgical navigation positioning, ensuring high-quality information processing under complex shapes and real-time navigation conditions.

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Abstract

A surgical navigation positioning system and method. The system comprises a data acquisition module, a data preprocessing module, a model reconstruction module, a coordinate registration module, an information restoration module, and a positioning tracking module. The method comprises acquiring an original patient image, a patient CT image, and real-time video data, carrying out data preprocessing and optimized registration by means of a guided image filtering denoising algorithm, implementing model reconstruction by means of a ray casting algorithm, and using an adversarial training method to implement information restoration of an occluded image, thus increasing the precision, accuracy, and safety of surgical navigation positioning.
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