[Title]
Enhancing safety of image processing-based guidewire navigation through collision risk function and fail-safe mechanism
[Authors]
유상백, 최재순, 장동의
[Abstract]
This paper aims to improve the safety of image processing-based guidewire navigation for vascular interventions. To achieve this, a function based on an image is designed to represent the collision between the vessel and guidewire. This function can be used to reduce the risk in reinforcement learning (RL). Additionally, a fail-safe mechanism is implemented to enhance safety and overcome errors in RL.