Literature DB >> 26490348

Acoustic noise reduction in T 1- and proton-density-weighted turbo spin-echo imaging.

Martin Ott1, Martin Blaimer2, Felix Breuer2, David Grodzki3, Björn Heismann3, Peter Jakob4.   

Abstract

OBJECTIVE: To reduce acoustic noise levels in T 1-weighted and proton-density-weighted turbo spin-echo (TSE) sequences, which typically reach acoustic noise levels up to 100 dB(A) in clinical practice.
MATERIALS AND METHODS: Five acoustic noise reduction strategies were combined: (1) gradient ramps and shapes were changed from trapezoidal to triangular, (2) variable-encoding-time imaging was implemented to relax the phase-encoding gradient timing, (3) RF pulses were adapted to avoid the need for reversing the polarity of the slice-rewinding gradient, (4) readout bandwidth was increased to provide more time for gradient activity on other axes, (5) the number of slices per TR was reduced to limit the total gradient activity per unit time. We evaluated the influence of each measure on the acoustic noise level, and conducted in vivo measurements on a healthy volunteer. Sound recordings were taken for comparison.
RESULTS: An overall acoustic noise reduction of up to 16.8 dB(A) was obtained by the proposed strategies (1-4) and the acquisition of half the number of slices per TR only. Image quality in terms of SNR and CNR was found to be preserved.
CONCLUSIONS: The proposed measures in this study allowed a threefold reduction in the acoustic perception of T 1-weighted and proton-density-weighted TSE sequences compared to a standard TSE-acquisition. This could be achieved without visible degradation of image quality, showing the potential to improve patient comfort and scan acceptability.

Entities:  

Keywords:  Acoustic noise reduction; Clinical sequence; Patient comfort; Patient compliance; Quiet MRI; TSE

Mesh:

Substances:

Year:  2015        PMID: 26490348     DOI: 10.1007/s10334-015-0502-7

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


  29 in total

1.  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

2.  Analysis of magnetic resonance imaging acoustic noise generated by a 4.7 T experimental system.

Authors:  S A Counter; A Olofsson; E Borg; B Bjelke; A Häggström; H F Grahn
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Authors:  Mark A Griswold; Peter M Jakob; Robin M Heidemann; Mathias Nittka; Vladimir Jellus; Jianmin Wang; Berthold Kiefer; Axel Haase
Journal:  Magn Reson Med       Date:  2002-06       Impact factor: 4.668

4.  Controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) for multi-slice imaging.

Authors:  Felix A Breuer; Martin Blaimer; Robin M Heidemann; Matthias F Mueller; Mark A Griswold; Peter M Jakob
Journal:  Magn Reson Med       Date:  2005-03       Impact factor: 4.668

5.  Measurement and evaluation of the acoustic noise of a 3 Tesla MR scanner.

Authors:  Yoko Hattori; Hiroshi Fukatsu; Takeo Ishigaki
Journal:  Nagoya J Med Sci       Date:  2007-01       Impact factor: 1.131

6.  Measurement of signal-to-noise ratios in MR images: influence of multichannel coils, parallel imaging, and reconstruction filters.

Authors:  Olaf Dietrich; José G Raya; Scott B Reeder; Maximilian F Reiser; Stefan O Schoenberg
Journal:  J Magn Reson Imaging       Date:  2007-08       Impact factor: 4.813

7.  Noise: a hazard for the fetus and newborn. American Academy of Pediatrics. Committee on Environmental Health.

Authors: 
Journal:  Pediatrics       Date:  1997-10       Impact factor: 7.124

8.  The use of active noise control (ANC) to reduce acoustic noise generated during MRI scanning: some initial results.

Authors:  M McJury; R W Stewart; D Crawford; E Toma
Journal:  Magn Reson Imaging       Date:  1997       Impact factor: 2.546

9.  Anxiety in patients undergoing MR imaging.

Authors:  M E Quirk; A J Letendre; R A Ciottone; J F Lingley
Journal:  Radiology       Date:  1989-02       Impact factor: 11.105

10.  Comprehensive quantification of signal-to-noise ratio and g-factor for image-based and k-space-based parallel imaging reconstructions.

Authors:  Philip M Robson; Aaron K Grant; Ananth J Madhuranthakam; Riccardo Lattanzi; Daniel K Sodickson; Charles A McKenzie
Journal:  Magn Reson Med       Date:  2008-10       Impact factor: 4.668

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  1 in total

1.  Software-based noise reduction in cranial magnetic resonance imaging: Influence on image quality.

Authors:  Philipp Fuelkell; Soenke Langner; Nele Friedrich; Marie-Luise Kromrey; Christoph G Radosa; Ivan Platzek; Birger Mensel; Jens-Peter Kühn
Journal:  PLoS One       Date:  2018-11-01       Impact factor: 3.240

  1 in total

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