Literature DB >> 15221661

Characterization of vibration and acoustic noise in a gradient-coil insert.

G Z Yao1, C K Mechefske, B K Rutt.   

Abstract

High-speed switching of current in gradient coils within high magnetic field strength magnetic resonance imaging (MRI) scanners results in high acoustic sound pressure levels (SPL) in and around these machines. To characterize the vibration properties as well as the acoustic noise properties of the gradient coil, a finite-element (FE) model was developed using the dimensional design specifications of an available gradient-coil insert and the concentration of the copper windings in the coil. This FE model was then validated using experimentally collected vibration data. A computational acoustic noise model was then developed based on the validated FE model. The validation of the finite-element analysis results was done using experimental modal testing of the same gradient coil in a free-free state (no boundary constraints). Based on the validated FE model, boundary conditions (supports) were added to the model to simulate the operating condition when the gradient-coil insert is in place in an MRI machine. Vibration analysis results from the FE model were again validated through experimental vibration testing with the gradient-coil insert installed in the MRI scanner and excited using swept sinusoidal time waveforms. The simulation results from the computational acoustic noise model were also validated through experimental noise measurement from the gradient-coil insert in the MRI scanner using swept sinusoidal time waveform inputs. Comparisons show that the FE model predicts the vibration properties and the computational acoustic noise model predicts the noise characteristic properties extremely accurately.

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Year:  2004        PMID: 15221661     DOI: 10.1007/s10334-004-0041-0

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  13 in total

1.  Gradient-induced acoustic and magnetic field fluctuations in a 4T whole-body MR imager.

Authors:  Y Wu; B A Chronik; C Bowen; C K Mechefske; B K Rutt
Journal:  Magn Reson Med       Date:  2000-10       Impact factor: 4.668

2.  Investigation of acoustic noise on 15 MRI scanners from 0.2 T to 3 T.

Authors:  D L Price; J P De Wilde; A M Papadaki; J S Curran; R I Kitney
Journal:  J Magn Reson Imaging       Date:  2001-02       Impact factor: 4.813

3.  Making MRI quieter.

Authors:  William A Edelstein; Robert A Hedeen; Richard P Mallozzi; Sayed Amr El-Hamamsy; Robert A Ackermann; Timothy J Havens
Journal:  Magn Reson Imaging       Date:  2002-02       Impact factor: 2.546

4.  Echo planar imaging at 4 Tesla with minimum acoustic noise.

Authors:  Dardo G Tomasi; Thomas Ernst
Journal:  J Magn Reson Imaging       Date:  2003-07       Impact factor: 4.813

5.  Optimized gradient pulse for use with EPI employing active acoustic control.

Authors:  B L W Chapman; B Haywood; P Mansfield
Journal:  Magn Reson Med       Date:  2003-11       Impact factor: 4.668

6.  Active cancellation system of acoustic noise in MR imaging.

Authors:  C K Chen; T D Chiueh; J H Chen
Journal:  IEEE Trans Biomed Eng       Date:  1999-02       Impact factor: 4.538

7.  A new silent magnetic resonance imaging using a rotating DC gradient.

Authors:  Z H Cho; S T Chung; J Y Chung; S H Park; J S Kim; C H Moon; I K Hong
Journal:  Magn Reson Med       Date:  1998-02       Impact factor: 4.668

8.  Acoustic analysis of gradient-coil noise in MR imaging.

Authors:  R Hurwitz; S R Lane; R A Bell; M N Brant-Zawadzki
Journal:  Radiology       Date:  1989-11       Impact factor: 11.105

9.  Acoustic noise levels generated during high field MR imaging.

Authors:  M J McJury
Journal:  Clin Radiol       Date:  1995-05       Impact factor: 2.350

10.  Measurement of acoustic noise during MR imaging: evaluation of six "worst-case" pulse sequences.

Authors:  F G Shellock; S M Morisoli; M Ziarati
Journal:  Radiology       Date:  1994-04       Impact factor: 11.105

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  9 in total

1.  Theoretical, numerical, and experimental modal analysis of a single-winding gradient coil insert cylinder.

Authors:  Chris K Mechefske; Fenglin Wang
Journal:  MAGMA       Date:  2006-08-01       Impact factor: 2.310

2.  Compensation of gradient-induced magnetic field perturbations.

Authors:  Terence W Nixon; Scott McIntyre; Douglas L Rothman; Robin A de Graaf
Journal:  J Magn Reson       Date:  2008-02-23       Impact factor: 2.229

3.  Influence of selecting EPI readout-encoding bandwidths on arterial spin labeling perfusion MRI.

Authors:  Geon-Ho Jahng; Norbert Schuff
Journal:  MAGMA       Date:  2009-07-04       Impact factor: 2.310

4.  Diffusion anisotropy indexes are sensitive to selecting the EPI readout-encoding bandwidth at high-field MRI.

Authors:  Geon-Ho Jahng; Michael W Weiner; Norbert Schuff
Journal:  Magn Reson Imaging       Date:  2008-06       Impact factor: 2.546

5.  Proton CSI without solvent suppression with strongly reduced field gradient related sideband artifacts.

Authors:  Grzegorz L Chadzynski; Uwe Klose
Journal:  MAGMA       Date:  2012-08-29       Impact factor: 2.310

6.  On the accurate analysis of vibroacoustics in head insert gradient coils.

Authors:  Simone A Winkler; Andrew Alejski; Trevor Wade; Charles A McKenzie; Brian K Rutt
Journal:  Magn Reson Med       Date:  2016-11-17       Impact factor: 4.668

Review 7.  Gradient and shim technologies for ultra high field MRI.

Authors:  Simone A Winkler; Franz Schmitt; Hermann Landes; Joshua de Bever; Trevor Wade; Andrew Alejski; Brian K Rutt
Journal:  Neuroimage       Date:  2016-11-30       Impact factor: 6.556

8.  Reduced acoustic noise in diffusion tensor imaging on a compact MRI system.

Authors:  Ek T Tan; Christopher J Hardy; Yunhong Shu; Myung-Ho In; Arnaud Guidon; John Huston; Matt A Bernstein; Thomas K F Foo
Journal:  Magn Reson Med       Date:  2017-10-02       Impact factor: 4.668

9.  A Structure Design Method for Reduction of MRI Acoustic Noise.

Authors:  Jiaofen Nan; Nannan Zong; Qiqiang Chen; Liangliang Zhang; Qian Zheng; Yongquan Xia
Journal:  Comput Math Methods Med       Date:  2017-11-06       Impact factor: 2.238

  9 in total

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