A lung nodule positioning system and method based on multi-modal data fusion
By employing a multimodal data fusion method for lung nodule localization, combined with CT, ultrasound, and AR navigation, precise localization based on preoperative planning and intraoperative dynamic changes was achieved. This solved the problem of insufficient accuracy in lung nodule localization under a single imaging modality, thereby improving the success rate of thoracoscopic surgery and patient prognosis.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- FOURTH MILITARY MEDICAL UNIVERSITY
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, a single imaging modality is insufficient to meet the needs of both preoperative planning and intraoperative dynamic changes, resulting in decreased accuracy in pulmonary nodule localization. This is especially true in thoracoscopic surgery, where small nodules often lack clear anatomical landmarks and are easily affected by respiratory movements, leading to large localization errors.
A multimodal data fusion method was adopted, combining preoperative CT images with intraoperative ultrasound navigation. The spatial registration of the three-dimensional virtual model was achieved through the AR environment, and respiratory displacement and lung deformation were corrected in real time. Ultrasound feedback was used for iterative correction to ensure positioning accuracy.
It improves the accuracy of lung nodule localization during thoracoscopic surgery, reduces localization errors, provides intuitive real-time navigation support, and enhances the stability and reliability of the surgery.
Smart Images
Figure CN122417318A_ABST