Impact of Acoustic Noise Reduction on Patient Experience in Routine Clinical Magnetic Resonance Imaging

Sartoretti, Elisabeth; Sartoretti, Thomas; Wyss, Michael; Smoorenburg, Luuk van; Eichenberger, Barbara; Duim, S. van der; Cereghetti, Damiano M.; Binkert, Christoph A.; Sartoretti–Schefer, Sabine; Najafi, Arash

doi:10.1016/j.acra.2020.10.012

Cited by 10 publications

(8 citation statements)

References 19 publications

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“…Acoustic noise represents an important hazard in MRI, primarily due to its potential impact on patient compliance. Several studies have attempted to assess the impact of ANR algorithms on image quality by performing quantitative and qualitative analyses on patient images across a range of eld strengths, algorithms, pulse sequences, and anatomical regions [5][6][7][8][9]. We have quantitatively assessed four image quality metrics on a commonly available QA phantom via scripts written on freely available software.…”

Section: Discussionmentioning

confidence: 99%

“…Major MRI manufacturers have developed proprietary ANR software options that utilise gradient waveform manipulation. Previous studies have aimed to assess the impact of ANR reduction algorithms or hardware on image quality and/or acoustic noise levels [5][6][7][8][9]. The image quality assessments of these studies have been performed on patient images and either scored using manually placed ROIs or qualitatively by Radiologists.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Phantom-Based Image Quality Analysis of MRI Acoustic Noise Reduction Algorithm Effects

Leatherday

Fraser

2022

Preprint

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The impact of proprietary acoustic noise reduction (ANR) algorithms on ghosting, intensity uniformity, signal-to-noise ratio, and contrast-to-noise ratio were quantitatively assessed on 1.5 and 3 Tesla MRI scanners at Fiona Stanley Hospital. T1 weighted images of an MRI phantom were acquired repeatedly over three sessions with all sequence parameters on a given scanner constant except ANR being off or on. Significant differences in paired t-tests were found at 1.5T (p < 0.001) and 3T (p < 0.01) between the ANR on vs off groups for ghosting; intensity uniformity at 1.5T (p < 0.001); and for contrast-to-noise ratio at 1.5T (p < 0.01). ANR can have an impact on image quality; the methods used in this study are easily replicable and could be used to help inform decision making regarding its routine use in the clinic.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantitative Phantom-Based Image Quality Analysis of MRI Acoustic Noise Reduction Algorithm Effects

Leatherday

Fraser

2022

Preprint

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“…Room temperature maintenance and the use of ear protection such as ear plugs and headphones, to reduce the effects of the MRI-related acoustic noise [41] are vital to ensure a successful MRI examination. Acoustic noise can often be one of the most distressing factors for patients during clinical examinations [43] .…”

Section: Communication and Patient Preparationmentioning

confidence: 99%

Paediatric magnetic resonance imaging adaptations without the use of sedation or anaesthesia: A narrative review

Anwar

McCabe

Simcock

et al. 2022

Journal of Medical Imaging and Radiation Sciences

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“…The acoustic noise produced by the MRI scanner can reach levels up to 130 dB, 2 making it a necessity to wear hearing protection, and can be a major source of discomfort and distress especially for vulnerable patient populations. 3,4 Motion artifacts on the other hand are problematic in all medical imaging techniques, but especially in MRI using high resolution and long scan times. From a clinical perspective, motion artifacts can obscure pathology, requiring re-acquisition of the scans and thus imposing additional costs to the hospital and extra burden for the patients.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Motion corrected silent ZTE neuroimaging

Ljungberg

Wood

Solana

et al. 2022

Magnetic Resonance in Med

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To develop self-navigated motion correction for 3D silent zero echo time (ZTE) based neuroimaging and characterize its performance for different types of head motion. Methods:The proposed method termed MERLIN (Motion Estimation & Retrospective correction Leveraging Interleaved Navigators) achieves self-navigation by using interleaved 3D phyllotaxis k-space sampling. Low resolution navigator images are reconstructed continuously throughout the ZTE acquisition using a sliding window and co-registered in image space relative to a fixed reference position. Rigid body motion corrections are then applied retrospectively to the k-space trajectory and raw data and reconstructed into a final, high-resolution ZTE image. Results: MERLIN demonstrated successful and consistent motion correction for magnetization prepared ZTE images for a range of different instructed motion paradigms. The acoustic noise response of the self-navigated phyllotaxis trajectory was found to be only slightly above ambient noise levels (<4 dBA). Conclusion:Silent ZTE imaging combined with MERLIN addresses two major challenges intrinsic to MRI (i.e., subject motion and acoustic noise) in a synergistic and integrated manner without increase in scan time and thereby forms a versatile and powerful framework for clinical and research MR neuroimaging applications.

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Impact of Acoustic Noise Reduction on Patient Experience in Routine Clinical Magnetic Resonance Imaging

Cited by 10 publications

References 19 publications

Quantitative Phantom-Based Image Quality Analysis of MRI Acoustic Noise Reduction Algorithm Effects

Quantitative Phantom-Based Image Quality Analysis of MRI Acoustic Noise Reduction Algorithm Effects

Paediatric magnetic resonance imaging adaptations without the use of sedation or anaesthesia: A narrative review

Motion corrected silent ZTE neuroimaging

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