Literature DB >> 25678482

Quiet PROPELLER MRI techniques match the quality of conventional PROPELLER brain imaging techniques.

I Corcuera-Solano1, A Doshi1, P S Pawha1, D Gui2, A Gaddipati2, L Tanenbaum3.   

Abstract

BACKGROUND AND
PURPOSE: Switching of magnetic field gradients is the primary source of acoustic noise in MR imaging. Sound pressure levels can run as high as 120 dB, capable of producing physical discomfort and at least temporary hearing loss, mandating hearing protection. New technology has made quieter techniques feasible, which range from as low as 80 dB to nearly silent. The purpose of this study was to evaluate the image quality of new commercially available quiet T2 and quiet FLAIR fast spin-echo PROPELLER acquisitions in comparison with equivalent conventional PROPELLER techniques in current day-to-day practice in imaging of the brain.
MATERIALS AND METHODS: Thirty-four consecutive patients were prospectively scanned with quiet T2 and quiet T2 FLAIR PROPELLER, in addition to spatial resolution-matched conventional T2 and T2 FLAIR PROPELLER imaging sequences on a clinical 1.5T MR imaging scanner. Measurement of sound pressure levels and qualitative evaluation of relative image quality was performed.
RESULTS: Quiet T2 and quiet T2 FLAIR were comparable in image quality with conventional acquisitions, with sound levels of approximately 75 dB, a reduction in average sound pressure levels of up to 28.5 dB, with no significant trade-offs aside from longer scan times.
CONCLUSIONS: Quiet FSE provides equivalent image quality at comfortable sound pressure levels at the cost of slightly longer scan times. The significant reduction in potentially injurious noise is particularly important in vulnerable populations such as children, the elderly, and the debilitated. Quiet techniques should be considered in these special situations for routine use in clinical practice.
© 2015 by American Journal of Neuroradiology.

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Year:  2015        PMID: 25678482      PMCID: PMC8013025          DOI: 10.3174/ajnr.A4235

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  23 in total

1.  "Silent" MRI with soft gradient pulses.

Authors:  F Hennel; F Girard; T Loenneker
Journal:  Magn Reson Med       Date:  1999-07       Impact factor: 4.668

2.  Effect of MRI noise on cochlear function.

Authors:  P Radomskij; M A Schmidt; C W Heron; D Prasher
Journal:  Lancet       Date:  2002-04-27       Impact factor: 79.321

3.  Neonatal cochlear function: measurement after exposure to acoustic noise during in utero MR imaging.

Authors:  Michael J Reeves; Marian Brandreth; Elspeth H Whitby; Anthony R Hart; Martyn N J Paley; Paul D Griffiths; John C Stevens
Journal:  Radiology       Date:  2010-09-27       Impact factor: 11.105

4.  Quiet transverse gradient coils: Lorentz force balanced designs using geometrical similitude.

Authors:  R W Bowtell; P Mansfield
Journal:  Magn Reson Med       Date:  1995-09       Impact factor: 4.668

5.  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

6.  Characterization and prediction of gradient acoustic noise in MR imagers.

Authors:  R A Hedeen; W A Edelstein
Journal:  Magn Reson Med       Date:  1997-01       Impact factor: 4.668

7.  Quiet T1-weighted imaging using PETRA: initial clinical evaluation in intracranial tumor patients.

Authors:  Masahiro Ida; Toshiki Wakayama; Matthew L Nielsen; Takayuki Abe; David M Grodzki
Journal:  J Magn Reson Imaging       Date:  2014-02-28       Impact factor: 4.813

8.  Verbal communication in MR environments: effect of MR system acoustic noise on speech understanding.

Authors:  Adriaan Moelker; Ronald A J J Maas; Peter M T Pattynama
Journal:  Radiology       Date:  2004-07       Impact factor: 11.105

9.  Sequence-based acoustic noise reduction of clinical MRI scans.

Authors:  Björn Heismann; Martin Ott; David Grodzki
Journal:  Magn Reson Med       Date:  2014-05-29       Impact factor: 4.668

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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  6 in total

1.  Qualitative and quantitative analysis of 3D T1 Silent imaging.

Authors:  Francesca Di Giuliano; Silvia Minosse; Eliseo Picchi; Valentina Ferrazzoli; Valerio Da Ros; Massimo Muto; Chiara Adriana Pistolese; Francesco Garaci; Roberto Floris
Journal:  Radiol Med       Date:  2021-06-15       Impact factor: 3.469

2.  Silent susceptibility-weighted angiography to detect hemorrhagic lesions in the brain: a clinical and phantom study.

Authors:  Takuya Fujiwara; Yoshiyuki Watanabe; Hisashi Tanaka; Hiroto Takahashi; Chisato Matsuo; Masahiro Fujiwara; Tetsuya Wakayama; Pauline Worters; Christopher J Hardy; Noriyuki Tomiyama
Journal:  Neuroradiology       Date:  2019-11-06       Impact factor: 2.804

3.  Image quality assessment of silent T2 PROPELLER sequence for brain imaging in infants.

Authors:  Hyun Gi Kim; Jin Wook Choi; Soo Han Yoon; Sieun Lee
Journal:  Br J Radiol       Date:  2017-12-22       Impact factor: 3.039

4.  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

5.  Comparison of Silent and Conventional MR Imaging for the Evaluation of Myelination in Children.

Authors:  Chisato Matsuo-Hagiyama; Yoshiyuki Watanabe; Hisashi Tanaka; Hiroto Takahashi; Atsuko Arisawa; Eri Yoshioka; Shin Nabatame; Sayaka Nakano; Noriyuki Tomiyama
Journal:  Magn Reson Med Sci       Date:  2016-10-31       Impact factor: 2.471

6.  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

  6 in total

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