Research On Tracking Technology Of Surgical Navigation Instruments Based On Near Infrared Light

In traditional surgical procedures,doctors rely on subjective experience to perform intracranial surgery,which has a large wound area,high surgical risk,and a long recovery period for patients.With the development of technology,the application of surgical navigation technology in minimally invasive brain surgery has become a current research highlights.The development of navigation systems abroad is relatively mature and has good performance,but the expensive equipment and inconvenient maintenance seriously restrict the application of minimally invasive brain surgery in the country.The paper studied and designed a near-infrared surgical instrument navigation and positioning system,and the specific research content is as follows:Firstly,a near-infrared navigation and positioning system was designed and manufactured based on the principle of stereo vision positioning.Traditional instruments use different colored markers as marking points,and the collected images are susceptible to natural light interference.The paper designed a near-infrared binocular camera using an infrared filter and a regular camera,with near-infrared light as the instrument marker,which facilitates image sensors to capture the spot information of infrared marker points,improving the real-time,accuracy,and stability of the system.Secondly,a calibration method for surgical instruments was studied.To reduce the noise and measurement errors during the instrument calibration process,and improve the accuracy of instrument calibration,the surgical instrument rotates around the pointed point,and the positioning system collects multiple sets of marked point coordinate values and establishes the instrument coordinate system.By combining the LMS adaptive algorithm to calculate the coordinate values of the surgical instrument tip in the instrument coordinate system,high-precision calibration of the surgical instrument tip has been achieved.The experiment verified the stability and accuracy of the instrument calibration,and the maximum absolute error was 0.207 mm.Thirdly,we studied the stereo matching and recognition of multiple instruments.The multi device positioning system needs to correctly locate the three-dimensional coordinates of the device marker points.The grayscale values,edges,and gradients of the marker point spot image have high consistency,and cannot match the marker points using regions or features.The paper uses geometric constraint method to identify multiple devices,improving recognition efficiency and accuracy.The experiment verified the accuracy of multi device matching recognition.After experimental verification,the near-infrared navigation and positioning system utilizes device calibration and device matching to locate and track the position and pose of the device tip in real-time.This system reduces the cost of the measurement system,improves the real-time,accuracy,and stability of the system,meets the positioning requirements of conventional brain surgery navigation systems,and has good promotional value.