Title :
SNORE: spike noise removal and detection
Author :
Foo, T.K.F. ; Grigsby, Nancy S. ; Mitchell, James D. ; Slayman, Beth E.
Author_Institution :
Appl. Sci. Lab., GE Med. Syst., Milwaukee, WI, USA
fDate :
3/1/1994 12:00:00 AM
Abstract :
A method for detection and removal of random spike noise in magnetic resonance (MR) raw data (k-space data) is described. This method would reduce or eliminate the corduroy-type and higher than usual level artifacts in MR images resulting from random spike noise in k-space data. The method described involves applying a spatially varying threshold to be k-space data. Any data point that has a magnitude greater than that of the threshold value at that location will be replaced by a local complex average of the neighboring data points or some other suitable data replacement scheme
Keywords :
biomedical NMR; medical image processing; random noise; SNORE; corduroy-type artifacts; data replacement scheme; diagnostic imaging; k-space data; magnetic resonance raw data; medical MR imaging; spatially varying threshold; spike noise detection; spike noise removal; Assembly; Biomedical engineering; Biomedical imaging; Clinical diagnosis; Coils; Filters; Noise level; Noise reduction; Systems engineering and theory; Throughput;
Journal_Title :
Medical Imaging, IEEE Transactions on
