| Rapid MR-ARFI method for focal spot localization during focused ultrasound therapy. | |
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MedLine Citation:
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PMID: 21337406 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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MR-guided focused ultrasound (FUS) is a noninvasive therapy for treating various pathologies. MR-based acoustic radiation force imaging (MR-ARFI) measures tissue displacement in the focal spot due to acoustic radiation force. MR-ARFI also provides feedback for adaptive focusing algorithms that could correct for phase aberrations caused by the skull during brain treatments. This work developed a single-shot echo-planar imaging-based MR-ARFI method that reduces scan time and ultrasound energy deposition. The new method was implemented and tested in a phantom and ex vivo brain tissue. The effect of the phase aberrations on the ultrasound focusing was studied using displacement maps obtained with echo-planar imaging and two-dimensional spin-warp MR-ARFI. The results show that displacement in the focal spot can be rapidly imaged using echo-planar imaging-based MR-ARFI with high signal-to-noise ratio efficiency and without any measurable tissue heating. Echo-planar imaging-based displacement images also demonstrate sufficient sensitivity to phase aberrations and can serve as rapid feedback for adaptive focusing in brain treatments and other applications. |
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Authors:
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Elena A Kaye; Jing Chen; Kim Butts Pauly |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural Date: 2010-11-16 |
Journal Detail:
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Title: Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine Volume: 65 ISSN: 1522-2594 ISO Abbreviation: Magn Reson Med Publication Date: 2011 Mar |
Date Detail:
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Created Date: 2011-02-21 Completed Date: 2011-06-23 Revised Date: 2012-03-26 |
Medline Journal Info:
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Nlm Unique ID: 8505245 Medline TA: Magn Reson Med Country: United States |
Other Details:
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Languages: eng Pagination: 738-43 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Wiley-Liss, Inc. |
Affiliation:
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Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA. klena@stanford.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Humans Image Enhancement / methods Image Interpretation, Computer-Assisted / methods* Magnetic Resonance Imaging / instrumentation, methods* Phantoms, Imaging Reproducibility of Results Sensitivity and Specificity Therapy, Computer-Assisted / methods* Ultrasonic Therapy / methods* |
| Grant Support | |
ID/Acronym/Agency:
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P41 RR009784/RR/NCRR NIH HHS; R01 CA121163/CA/NCI NIH HHS; R01 CA121163-07/CA/NCI NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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