Literature DB >> 18218490

SNORE: spike noise removal and detection.

T F Foo1, N S Grigsby, J D Mitchell, B E Slayman.   

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.

Year:  1994        PMID: 18218490     DOI: 10.1109/42.276151

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  2 in total

1.  Using the robust principal component analysis algorithm to remove RF spike artifacts from MR images.

Authors:  Adrienne E Campbell-Washburn; David Atkinson; Zoltan Nagy; Rachel W Chan; Oliver Josephs; Mark F Lythgoe; Roger J Ordidge; David L Thomas
Journal:  Magn Reson Med       Date:  2015-07-20       Impact factor: 4.668

2.  A New Phased-Array Magnetic Resonance Imaging Receive-Only Coil for HBO2 Studies.

Authors:  Azma Mareyam; Erik Shank; Lawrence L Wald; Michael K Qin; Giorgio Bonmassar
Journal:  Sensors (Basel)       Date:  2022-08-14       Impact factor: 3.847

  2 in total

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