A Novel Method for Enhanced Needle Localization Using Ultrasound-Guidance

Authors:
Bin Dong;Eric Savitsky;Stanley Osher
Affiliations:
Department of Mathematics, University of California, San Diego 92093-0112;Department of Emergency Medicine, University of California Los Angeles, Los Angeles 90095-1777;Department of Mathematics, University of California, Los Angeles 90095-1555
Venue:
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Year:
2009

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Abstract

In this paper, we propose a novel and fast method to localize and track needles during image-guided interventions. Our proposed method is comprised of framework of needle detection and tracking in highly noisy ultrasound images via level set and PDE (partial differential equation) based methods. Major advantages of the method are: (1) efficiency, the entire numerical procedure can be finished in real-time: (2) robustness, insensitive to noise in the ultrasound images and: (3) flexibility, the motion of the needle can be arbitrary. Our method will enhance the ability of medical care-providers to track and localize needles in relation to objects of interest during image-guided interventions.