Literature DB >> 27896570

Quiet MR sequences in clinical routine: initial experience in abdominal imaging.

Sebastian Fischer1, David M Grodzki2, Markus Domschke3, Moritz Albrecht4, Boris Bodelle4, Katrin Eichler4, Renate Hammerstingl4, Thomas J Vogl4, Stephan Zangos5.   

Abstract

OBJECTIVE: Purpose of our study was to demonstrate the feasibility and limitations of acoustic noise reduction in a standard clinical MRI protocol for abdominal imaging.
METHODS: Acoustic noise and image quality were assessed in 17 patients for a standard liver imaging protocol including TSE and GRE sequences and compared to quiet optimizations as described by Heismann et al. Two blinded readers scored artifacts, the delineation of the abdominal organs and level of diagnostic confidence. Means of the sound level measurements, the ratings and the measurement of SNR and CNR were compared.
RESULTS: Significant reduction of acoustic noise was measured for T2 TSE (-30.7%), T2 HASTE (-22.6%) and less difference for T1 DIXON (-4.7%) and T1 FLASH (-2.7%). SNR and CNR were lower for quiet T2 TSE (-18.0%, -23.1%) and T2 HASTE (-46.2%, -37.7%) and higher for T1 DIXON (+32.0%, +24.4%). Inter-rater correlation was k = 0.987 with p < 0.001.
CONCLUSIONS: Although sequence-based noise optimizations faces problems in T1 FLASH and DIXON sequences, there is an important acoustic benefit in T2 TSE and T2 HASTE sequences, which goes along with a maintained image quality and diagnostic confidence.

Entities:  

Keywords:  Acoustic noise reduction; Image quality; Patient comfort; Quiet MRI

Mesh:

Year:  2016        PMID: 27896570     DOI: 10.1007/s11547-016-0710-x

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  15 in total

1.  [New techniques and pulse sequences in MRI of the liver].

Authors:  R Petsch; T Helmberger; J Scheidler; M Reiser
Journal:  Radiologe       Date:  1999-08       Impact factor: 0.635

2.  A comparison of two methods for measuring the signal to noise ratio on MR images.

Authors:  M J Firbank; A Coulthard; R M Harrison; E D Williams
Journal:  Phys Med Biol       Date:  1999-12       Impact factor: 3.609

3.  Measuring signal-to-noise ratio in partially parallel imaging MRI.

Authors:  Frank L Goerner; Geoffrey D Clarke
Journal:  Med Phys       Date:  2011-09       Impact factor: 4.071

4.  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

Review 5.  Diffusion weighted imaging in the liver.

Authors:  Petra G Kele; Eric J van der Jagt
Journal:  World J Gastroenterol       Date:  2010-04-07       Impact factor: 5.742

6.  Acoustic-noise-optimized diffusion-weighted imaging.

Authors:  Martin Ott; Martin Blaimer; David M Grodzki; Felix A Breuer; Julie Roesch; Arnd Dörfler; Björn Heismann; Peter M Jakob
Journal:  MAGMA       Date:  2015-06-20       Impact factor: 2.310

7.  Parallel imaging-based reduction of acoustic noise for clinical magnetic resonance imaging.

Authors:  Eric Y Pierre; David Grodzki; Gunhild Aandal; Bjoern Heismann; Chaitra Badve; Vikas Gulani; Jeffrey L Sunshine; Mark Schluchter; Kecheng Liu; Mark A Griswold
Journal:  Invest Radiol       Date:  2014-09       Impact factor: 6.016

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.  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

10.  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

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  2 in total

Review 1.  Pelvic floor dysfunctions: how to image patients?

Authors:  Francesca Iacobellis; Alfonso Reginelli; Daniela Berritto; Giuliano Gagliardi; Antonietta Laporta; Antonio Brillantino; Adolfo Renzi; Mariano Scaglione; Gabriele Masselli; Antonio Barile; Luigia Romano; Salvatore Cappabianca; Roberto Grassi
Journal:  Jpn J Radiol       Date:  2019-12-16       Impact factor: 2.374

2.  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

  2 in total

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