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Dataset Information

Evaluation of Software-Optimized Protocols for Acoustic Noise Reduction During Brain MRI at 7 Tesla.


ABSTRACT:

Background

MR-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 T2-weighted fast spin echo (T2W FSE) and three-dimensional T1-weighted turbo field echo (3D T1W TFE), and to compare with conventional imaging during 7-T brain MRI.

Study type

Prospective.

Subjects

Twenty-eight volunteers underwent brain MRI, with n = 26 fo

SUBMITTER: Glans A 

PROVIDER: S-EPMC12276638 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature