@article {DiMaio2006,
	title = {Needle artifact localization in 3T MR images},
	journal = {Studies in health technology and informatics},
	volume = {119},
	year = {2006},
	pages = {120{\textendash}125},
	publisher = {Brigham, Women{\textquoteright}s Hospital, Harvard Medical School, Boston 02115, USA simond@bwh harvard edu},
	abstract = {<p>This work explores an image-based approach for localizing needles during MRI-guided interventions, for the purpose of tracking, navigation Susceptibility artifacts for several needles of varying thickness were imaged, in phantoms, using a 3 tesla MRI system, under a variety of conditions The relationship between the true needle positions, the locations of artifacts within the images, determined both by manual, automatic segmentation methods, have been quantified, are presented here</p>
},
	keywords = {Artifacts, Magnetic Resonance Imaging, Needles, United States},
	author = {Simon DiMaio and Daniel Kacher and Randy Ellis and Gabor Fichtinger and Nobuhiko Hata and Gary Zientara and Lawrence Panych and Ron Kikinis and Ferenc Jolesz}
}
