Study On Visual Intervention Navigation System Based On Infrared Localization

In recent years, percutaneous intervention received wide clinical application because of minimal trauma and pain, quick recovery and few complications, especially in the biopsy, seed implant and radiofrequency ablation. Most intervention surgeries were done without any guidance, and depended too much on doctor’s experience. Image-guided intervention was of great clinical importance in pre-surgery evaluation and intra-operative guidance. Ultrasound attracted general clinical attention due to its real-time and radiation-free imaging method. However, ultrasound-guided intervention surgery didn’t popularize as a result of poor image quality and limitation in needle insertion angle and treatment sites.We proposed solutions to the common issues in clinical intervention surgery, and builded a visual intervention surgery guidance system based on optical infrared localization. Our system applied Visualization Toolkit (VTK) framework for computer tomography (CT) image information parsing, data visualization and interaction as well as volume data and defined data rendering in a 3D scene, which would help doctor to have a better pre-surgery evaluation. During intervention surgery, infrared localization system kept tracking markers, and transmitted coordinates of markers back to computer software which was used to do registration of needle and body. Real-time bias between needle and predefined trajectory as well as the relation between needle and body would be rendered in a visualized way. Such guidance would help doctor to be clearly aware of the operation process.To verify the localization precision of the system, a series of experiments were made to test needle and system positioning accuracy. Results showed a bias of (0.6mm,0.6mm,0.6mm) in (x, y z) and a errer of 1.0mm in distance of needle positioning, and a bias of (1,0mm,1.0mm,1.5mm) in (x, y, z) and a errer of 2.0mm in distance of system positioning. Such precision well met the requirements of clinical intervention surgery. At the end of the article, we analyzed the the system positioning error, and discussed its shortcomings as well as future research and development.