Magnetic Resonance Compatibility Analysis Method of Surgical Robotic System Based on Image Quality Evaluation

Abstract

To ensure the safety and precision of surgery, the robotic system applied in magnetic resonance (MR) image-guided robot-assisted surgery should be MR-compatible. In terms of this issue, a MR compatibility analysis method for surgical robotic system based on image quality evaluation is proposed in this paper, and the image sets are extended. The image quality evaluation model is constructed by combining evaluation parameters such as signal-to-noise ratio of MR images, image change factor and MR image distortion. The model can analyze the effect of the robot component and robot motion on image quality, forming a basis for image quality evaluation. The experimental results show that the image quality evaluation method can fully analyze the MR compatibility of the robotic system component, and provide an evaluative method and theoretical basis for the MR compatibility analysis of other kinds of medical robotic systems.

Keywords

• magnetic resonance imaging (mri)
• magnetic resonance compatibility
• image quality evaluation
• signal-to-noise ratio
• surgical robot