K-wire puncture path prediction method, system, device and product
By using a rotating bounding box target detection model and image processing technology, the problems of reliance on physician experience and poor real-time performance of image processing algorithms in Kirschner wire puncture path planning have been solved, achieving accurate puncture path prediction and promoting the development of orthopedic surgery towards intelligence and minimally invasive procedures.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- IRAY TECHNOLOGY CO LTD
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, Kirschner wire puncture path planning relies on the doctor's experience, resulting in low surgical efficiency and accuracy. The image processing algorithm also has poor real-time performance and increases equipment costs.
A rotating bounding box target detection model is used to process real-time dynamic images, identify the needle tip area, calculate the correction angle through image processing, and draw the puncture path prediction line, reducing reliance on doctor experience and additional hardware requirements.
It enables accurate prediction of puncture path, reduces system complexity and cost, improves surgical efficiency and safety, and is suitable for clinical scenarios such as minimally invasive operation and fracture reduction and fixation.
Smart Images
Figure CN122398459A_ABST
Abstract
Citation Information
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