An Algorithm using Artifact Features for Needle Tip Localization in Interventional MRI

Motivation: Needle tip localization is crucial for accurate and safe image-guided intervention, especially for real-time interventional MRI. Goal(s): To develop an algorithm that utilizes artifact features of the needle tip as prior information for needle tip localization. Approach: Combines target tracking and template matching techniques for accurate needle tip localization. Results: The algorithm's performance has been evaluated using both simulation and physical models. Validation results demonstrate that the algorithm enables fast identification, stable tracking, and highly precise needle tip localization. Impact: This needle tip localization method, leveraging artifact features as prior information, opens up new possibilities for the development of needle localization and tracking algorithms based on artifacts.