Title :
LMS-based Active Noise Cancellation Methods for fMRI Using Sub-band Filtering
Author :
Milani, Ali A. ; Panahi, Issa ; Briggs, Richard
Author_Institution :
Dept. of Electr. Eng., Texas Univ., Dallas, TX
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
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
Keywords :
acoustic noise; active noise control; adaptive filters; biomedical MRI; brain; least mean squares methods; medical image processing; 3 T; acoustic noise; active noise cancellation methods; active noise reduction; adaptive LMS-based method; brain scanner; functional MRI; noise characteristics; sub-band filtering; Acoustic noise; Adaptive filters; Biomedical imaging; Filtering; Finite impulse response filter; Least squares approximation; Low-frequency noise; Magnetic analysis; Magnetic separation; Noise cancellation;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.259731
