Design and Application of Surgical Navigation System Based on Visual Technology

Authors

Kun Lan, 1. Changzhi Medical College, Changzhi 046000, China;;2. The State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China;
Zhang Yan, 2. The State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China;
Xukun Shen, 2. The State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China;

Abstract

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.

Recommended Citation

Lan, Kun; Yan, Zhang; and Shen, Xukun (2020) "Design and Application of Surgical Navigation System Based on Visual Technology," Journal of System Simulation: Vol. 29: Iss. 9, Article 20.
DOI: 10.16182/j.issn1004731x.joss.201709020
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss9/20

First Page

2025

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201709020

Last Page

2035

CLC

TP391

Recommended Citation

Lan Kun, Zhang Yan, Shen Xukun. Design and Application of Surgical Navigation System Based on Visual Technology[J]. Journal of System Simulation, 2017, 29(9): 2025-2035.

DOI

10.16182/j.issn1004731x.joss.201709020