Keywords: MR-Guided Interventions, Interventional Devices, Passive tracking
Motivation: MRI-guided percutaneous needle interventions offer high precision for targeted procedures, however, accurate needle localization remains a challenge due to limited real-time tracking capabilities.
Goal(s): We developed a pysics-driven approach for needle localization in undersampled data.
Approach: Needle artifacts were simulated for a golden-angle radial GRE sequence and used to develop a library-based localization method.
Results: Accurate and robust localization was obtained using only 16 spokes, despite the appearance of strong streaking artifacts.
Impact: Our approach shows potential to enable smoother guidance and increased accuracy during percutaneous interventions.
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