Cross-region joint spatial registration method and device for bronchial navigation

By using a cross-regional joint spatial registration method and a joint registration matrix of facial and airway feature points, the accuracy and safety issues of CT image and electromagnetic spatial registration in bronchoscopic navigation surgery were resolved, achieving high-precision navigation from the body surface to the depths of the lung field.

CN122415693APending Publication Date: 2026-07-17GUANGZHOU AIMUYI TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGZHOU AIMUYI TECH CO LTD
Filing Date
2026-04-17
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing bronchoscopic navigation surgery, the registration methods between CT image space and electromagnetic space have problems such as easy displacement of markers, complicated operation, insufficient accuracy and high risk, especially in cases with complex airway structures, it is difficult to achieve high-precision registration.

Method used

A cross-regional joint spatial registration method is adopted. By acquiring facial and airway feature points in CT images and electromagnetic space, the joint spatial registration matrix is ​​calculated using the facial region registration matrix and the airway region registration matrix. This avoids directly extracting feature points within the airway and achieves high-precision coverage from the body surface to the depths of the lung field.

Benefits of technology

It improves the operational safety and accuracy of the bronchial navigation system, solves the problems of registration failure and insufficient deep accuracy in traditional methods, and achieves stable, safe and high-precision image electromagnetic spatial registration.

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Abstract

本申请适用于医疗导航技术领域,提供了用于支气管导航的跨区域联合空间配准方法及设备,方法包括:基于CT图像数据提取图像空间下的第一面部表面点云和第一面部特征点;获取电磁空间下的第二面部表面点云和第二面部特征点;根据第一面部表面点云、第二面部表面点云得到面部区域配准矩阵;根据CT图像数据得到图像空间下的第一气道中心线点集;通过电磁设备获取所述电磁空间下的第二气道中心线点集;根据面部区域配准矩阵、第一气道中心线点集、第二气道中心线点集得到气道区域配准矩阵;基于面部区域配准矩阵和气道区域配准矩阵,计算图像空间至电磁空间的联合空间配准矩阵。上述方法,实现了图像电磁空间配准,提升了支气管导航系统的整体性能。
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