Method, system, device and storage medium for determining the surface entry point of kidney stones
Through three-dimensional CT image processing and model construction, the optimal surface entry point for kidney stones is calculated, which solves the inaccuracy and time-consuming problems of entry point selection in traditional methods and realizes efficient and safe kidney stone lithotripsy surgery.
Patent Information
- Application Number
- CN202510454614.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-11
- Publication Date
- 2025-09-16
- Estimated Expiration
- 2045-04-11
AI Technical Summary
In traditional extracorporeal shock wave lithotripsy for kidney stones, the selection of the entry point relies on the doctor's experience, which has limited accuracy and is time-consuming. It is difficult to fully consider the patient's anatomical structure, which may lead to poor surgical results or additional injuries.
By acquiring three-dimensional CT images of patients with kidney stones, slicing and binarizing them, extracting bone point cloud and lung gas point cloud data, constructing an avoidance constraint function and an incident point prediction model, and using gradient edge detection and shock wave focal length constraints to calculate the optimal surface incident point.
It improves the accuracy of planning the entry point of kidney stones on the body surface, reduces the difficulty of surgery, improves the efficiency of lithotripsy, and can avoid risk areas.