Abstract
A navigation system based on vision was designed to solve the problem of using complex equipment to assist the real-time tracking of surgical instruments because of low registration of 3D in the existing surgical navigation system. Face point cloud was reconstructed in the patient's space by using the sinusoidal structured light; From rough to precise registration, patient space and model space were made by using facial feature; The three dimensional coordinates of the marker points on surgical instruments was restored by using continuous corner detection algorithm, binocular stereo vision principle and Kalman filter algorithm to obtain accurate position of surgical instruments. The experiments show that the surgical navigation system based on vision can achieve the requirements of accurate, stable, real-time tracking of surgical instruments.
| Original language | English |
|---|---|
| Pages (from-to) | 2025-2034 and 2042 |
| Journal | Xitong Fangzhen Xuebao / Journal of System Simulation |
| Volume | 29 |
| Issue number | 9 |
| DOIs | |
| State | Published - 8 Sep 2017 |
Keywords
- Kalman filter
- Sinusoidal structured light
- Space registration
- Surgical navigation system
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