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A clinical, noninvasive, MR imaging-monitored ultrasound surgery method

Hynynen, K, Freund, WR, Cline, HE, Chung, AH, Watkins, RD, Vetro, JP, Jolesz, FA·1996·RadioGraphics

Abstract

A noninvasive method of tissue ablation that is guided and monitored with magnetic resonance (MR) imaging has been developed. The method uses sharply focused ultrasound transducers of different focal lengths to induce a localized temperature elevation during a short exposure (1-20 seconds). A hydraulic, computer-controlled positioning device moves the transducer in an MR imager. The positioner is built into a standard cradle in the imager. The system includes cavitation detection and power monitoring circuitry for patient safety. The target volume is outlined with cross-sectional MR images obtained immediately before sonication. By means of the software, the focus is moved to ablate the volume defined with the images. The temperature elevation during the exposure is monitored by means of the proton resonance frequency shift with fast gradient-echo sequences, and the necrosed volume is demonstrated with T2-weighted fast spin-echo images. This method has been extensively tested in in vivo animal experiments and is now undergoing clinical trial.

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Metadata

Authors
Hynynen, K., Freund, W., Cline, H., Chung, A., Watkins, R., Vetro, J., & Jolesz, F.
Venue
RadioGraphics
Published
1996-01
Volume
16
Issue
1
Pages
185-195
ISSN
  • 0271-5333 (ISSN-L)
  • 1527-1323
OpenAlex
W1995707429
Cited by
327
References
0
FWCI
16.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A clinical, noninvasive, MR imaging-monitored ultrasound surgery method. https://app.cochat.ai/papers/10.1148/radiographics.16.1.185
The paper
Hynynen, K., Freund, W., Cline, H., Chung, A., Watkins, R., Vetro, J., & Jolesz, F. (1996). A clinical, noninvasive, MR imaging-monitored ultrasound surgery method. RadioGraphics. https://doi.org/10.1148/radiographics.16.1.185

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.