Reduction of MRI acoustic noise achieved by manipulation of scan parameters – A study using veterinary MR sequences

Baker, Martin

doi:10.1016/j.radi.2012.09.004

Cited by 13 publications

(15 citation statements)

References 31 publications

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“…When switching gradient mode to WM, it directly limits the gradient slew rate and amplitude, but does not alter the gradient shape. A previous study evaluated WM's effect on SPLs and showed a maximum reduction in SPL of 7.3 dBA and 4.3 dBA in cranial T1W and T2W TSE, respectively 3 ; whereas our study had a mean reduction of 11.2 dBA for T2W TSE. However, that study used longer TRs with WM compared to corresponding conventional sequences, which showed a trend in increasing the SPL.…”

Section: Discussioncontrasting

confidence: 77%

Maintaining Image Quality While Reducing Acoustic Noise and Switched Gradient Field Exposure During Lumbar MRI

Glans

Wilén

Lindgren

2021

Magnetic Resonance Imaging

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Background: MR-generated acoustic noise can contribute to patient discomfort and potentially be harmful. One way to reduce this noise is by altering the gradient output and/or waveform using software optimization. Such modifications might influence image quality and switched gradient field exposure, and different techniques appear to affect sound pressure levels (SPLs) to various degrees. Purpose: To evaluate SPLs, image quality, switched gradient field exposure, and participants' perceived noise levels during two different acoustic noise reduction (ANR) techniques, Quiet Suite (QS) and Whisper Mode (WM), and to compare them with conventional T2-weighted turbo spin echo (T2W TSE) of the lumbar spine. Design: Prospective. Subjects: Forty adults referred for lumbar MRI. Field Strength/Sequence: Conventional T2W TSE, T2W TSE with QS, and T2W TSE with WM were acquired at 1.5 T. Assessment: Peak SPL (A-weighted decibels, dBA), perceived noise levels (Borg CR10 ® -scale), signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), three radiologists' qualitative assessments in image quality on an ordinal scale 1-4, switched gradient field exposure (% general public), and gradient currents were measured. Interobserver reliability was reported as percentage agreement. Statistical Tests: Repeated measures ANOVA, Friedman's ANOVA, and Wilcoxon's Signed-Rank Test for acoustic noise measurements and image quality assessments. Results: Mean peak SPLs were 89.9 dBA, 74.3 dBA, and 78.8 dBA for conventional, QS, and WM, respectively (P < 0.05). Participants perceived QS as the quietest and conventional as the loudest sequence (P < 0.05). No qualitative differences in image quality were seen (P > 0.05), although QS showed significantly improved SNR and CNR (P < 0.05). Switched gradient field exposure was reduced by 66% and 48% for QS and WM, respectively. Data Conclusion: Without degrading image quality, both QS and WM are viable ANR techniques in lumbar T2W TSE. QS provided the lowest SPL, the lowest gradient field exposure and was perceived as the most silent among the three sequences. Level of Evidence: 1 Technical Efficacy Stage: 5

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Section: Discussioncontrasting

confidence: 77%

Maintaining Image Quality While Reducing Acoustic Noise and Switched Gradient Field Exposure During Lumbar MRI

Glans

Wilén

Lindgren

2021

Magnetic Resonance Imaging

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“…[ 7 , 8 ] The type of pulse sequence as well as other imaging parameters such as TR, TE and FOV also influence the gradient trajectory to variable degrees. [ 28 , 29 ] Therefore, optimizations of these scan parameters may further decrease SPL during MR imaging. Ott et al proposed five specific sequence parameter modification strategies to achieve overall SPL reduction of 16,8 dB(A) in T 1 - weighted and proton-density weighted turbo spin echo (TSE) acquisitions at no trade of image quality.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2018

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ObjectivesTo investigate acoustic noise reduction, image quality and white matter lesion detection rates of cranial magnetic resonance imaging (MRI) scans acquired with and without sequence-based acoustic noise reduction software.Material and methodsThirty-one patients, including 18 men and 13 women, with a mean age of 58.3±14.5 years underwent cranial MRI. A fluid-attenuated inversion recovery (FLAIR) sequence was acquired with and without acoustic noise reduction using the Quiet Suite (QS) software (Siemens Healthcare). During data acquisition, peak sound pressure levels were measured with a sound level meter (Testo, Typ 815). In addition, two observers assessed subjective image quality for both sequences using a five-point scale (1 very good—5 inadequate). Signal-to-noise ratio (SNR) was measured for both sequences in the following regions: white matter, gray matter, and cerebrospinal fluid. Furthermore, lesion detection rates in white matter pathologies were evaluated by two observers for both sequences. Acoustic noise, image quality including SNR and white matter lesion detection rates were compared using the Mann-Whitney-U-test.ResultsPeak sound pressure levels were slightly but significantly reduced using QS, P≤0.017. Effective sound pressure, measured in Pascal, was decreased by 19.7%. There was no significant difference in subjective image quality between FLAIR sequences acquired without/with QS: observer 1: 2.03/2.07, P = 0.730; observer 2: 1.98/2.10, P = 0.362. In addition, SNR was significantly increased in white matter, P≤0.001, and gray matter, P = 0.006, using QS. The lesion detection rates did not decline utilizing QS: observer 1: P = 0.944 observer 2: P = 0.952.ConclusionsSequence-based noise reduction software such as QS can significantly reduce peak sound pressure levels, without a loss of subjective image quality and increase SNR at constant lesion detection rates.

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“…Earmuffs such as “Mutt Muffs” can provide upwards of 28dB of sound reduction when fitted properly to each dog (www.safeandsoundpets.com) and have been successfully used in past experiments (Cook et al, 2014). For further noise reduction where experimental demands allow, the use of a “whisper” mode and/or alterations in scanning parameters can attenuate sound pressure levels during scanning (Baker, 2013). …”

Section: Methodological Issues and Solutionsmentioning

confidence: 99%

Functional Magnetic Resonance Imaging of the Domestic Dog: Research, Methodology, and Conceptual Issues

Thompkins¹,

Deshpande²,

Waggoner³

et al. 2016

CCBR

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Neuroimaging of the domestic dog is a rapidly expanding research topic in terms of the cognitive domains being investigated. Because dogs have shared both a physical and social world with humans for thousands of years, they provide a unique and socially relevant means of investigating a variety of shared human and canine psychological phenomena. Additionally, their trainability allows for neuroimaging to be carried out noninvasively in an awake and unrestrained state. In this review, a brief overview of functional magnetic resonance imaging (fMRI) is followed by an analysis of recent research with dogs using fMRI. Methodological and conceptual concerns found across multiple studies are raised, and solutions to these issues are suggested. With the research capabilities brought by canine functional imaging, findings may improve our understanding of canine cognitive processes, identify neural correlates of behavioral traits, and provide early-life selection measures for dogs in working roles.

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Reduction of MRI acoustic noise achieved by manipulation of scan parameters – A study using veterinary MR sequences

Cited by 13 publications

References 31 publications

Maintaining Image Quality While Reducing Acoustic Noise and Switched Gradient Field Exposure During Lumbar MRI

Maintaining Image Quality While Reducing Acoustic Noise and Switched Gradient Field Exposure During Lumbar MRI

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

Functional Magnetic Resonance Imaging of the Domestic Dog: Research, Methodology, and Conceptual Issues

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