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Abstract #0457

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

Shijie Hong1, Zhao He1, Guang-Zhong Yang1, and Yuan Feng1
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

Synopsis

Keywords: MR-Guided Interventions, MR-Guided Interventions, localization, needle artifact

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.

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