LMS-based active noise cancellation methods for fMRI using sub-band filtering.
We present application of adaptive LMS-based method using two different sub-band filtering techniques for active reduction of 3T-fMRI acoustic noise. Analysis and design of the sub-band filters are discussed based on the characteristics of the noise. Using the fMRI-brain scanner acoustic noise, performance of the methods are analyzed and compared for different number of sub-band filters.
Milani
Ali A
AA
Dept. of Electrical Engineering, University of Texas, Dallas, USA. ali.a.milani@student.utdallas.edu
Panahi
Issa
I
Briggs
Richard
R
D000465:Algorithms; D016477:Artifacts; D001931:Brain Mapping / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009622:Noise / Q000517:prevention & control*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity