A novel method for enhanced needle localization using ultrasound-guidance

Bin Dong, Eric Savitsky, Stanley Osher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationAdvances in Visual Computing - 5th International Symposium, ISVC 2009, Proceedings
Pages914-923
Number of pages10
EditionPART 1
DOIs
StatePublished - Dec 28 2009
Event5th International Symposium on Advances in Visual Computing, ISVC 2009 - Las Vegas, NV, United States
Duration: Nov 30 2009Dec 2 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5875 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Symposium on Advances in Visual Computing, ISVC 2009
CountryUnited States
CityLas Vegas, NV
Period11/30/0912/2/09

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Dong, B., Savitsky, E., & Osher, S. (2009). A novel method for enhanced needle localization using ultrasound-guidance. In Advances in Visual Computing - 5th International Symposium, ISVC 2009, Proceedings (PART 1 ed., pp. 914-923). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5875 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-10331-5_85