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Abstract #5416

Acoustic Noise Reduction in MRI and Utilizing Machine Learning

Ian David Langenfeld RT.(R)(MR)(MRSO)1, Jenna Kleinow RT.(R)(MR)(MRSO)1, Brian Burkett M.D., M.P.H.1, Paul Farnsworth D.O.1, Garima Suman, M.D. 1, Steven Messina, M.D.1, and Joel Felmlee Ph.D.1
1Radiology, Mayo Clinic, Rochester, MN, United States

Synopsis

This study assesses the use of acoustic noise reduction (ANR) techniques as well as utilizing machine learning in conjunction with ANR, in order to preserve image quality and limit acquisition time. The standard sequences in a brain without contrast exam were tested to determine decibel (dBA) level, image quality, as well as the scanned volunteers' semiquantitative "loudness" scores.

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