ArticleJournal of magnetic resonance imaging : JMRI2025
Evaluation of Software-Optimized Protocols for Acoustic Noise Reduction During Brain MRI at 7 Tesla.
Article in Journal of magnetic resonance imaging : JMRI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Evaluation of Software-Optimized Protocols for Acoustic Noise Reduction During Brain MRI at 7 Tesla.Journal of magnetic resonance imaging : JMRI · 2025Article
- Technical Optimization of SyntheticMR for the Head and Neck on a 3T MR-Simulator and 1.5T MR-Linac: A Prospective R-IDEAL Stage 2a Technology Innovation Report.medRxiv : the preprint server for health sciences · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundMR-generated acoustic noise may be particularly concerning at 7-Tesla (T) systems. Noise levels can be reduced by altering gradient output using software optimization. However, such alterations might influence image quality or prolong scan times, and these optimizations have not been well characterized. PURPOSE: To evaluate image quality, sound pressure levels (SPLs), and perceived noise levels when using the acoustic noise reduction technique SofTone for T STUDY TYPE: Prospective. SUBJECTS: Twenty-eight volunteers underwent brain MRI, with n = 26 for image quality evaluations. FIELD STRENGTH/SEQUENCE: Conventional and SofTone versions of T ASSESSMENT: Peak SPLs (A-weighted decibels, dBA), participant-perceived noise levels (Borg CR10-scale), qualitative image assessments by three neuroradiologists (four-graded ordinal scales), interrater reliability, and percentage agreement. STATISTICAL TEST: Paired t-test, Wilcoxon's Signed-Rank Test, and Krippendorff's alpha; p < 0.05 were considered statistically significant.
resultsSofTone significantly reduced peak SPLs: from 116.3 to 97.0 dBA on T DATA
conclusionSofTone can significantly reduce sound intensity and perceived noise levels while maintaining acceptable image quality with T EVIDENCE LEVEL: 4 Technical Efficacy: Stage 5.
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Registered trials
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