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Removal of intensity bias in magnitude spin-echo MRI images by nonlinear diffusion filtering
2004
Medical Imaging 2004: Image Processing
MRI data analysis is routinely done on the magnitude part of complex images. While both real and imaginary image channels contain Gaussian noise, magnitude MRI data are characterized by Rice distribution. However, conventional filtering methods often assume image noise to be zero mean and Gaussian distributed. Estimation of an underlying image using magnitude data produces biased result. The bias may lead to significant image errors, especially in areas of low signal-to-noise ratio (SNR). The
doi:10.1117/12.535899
dblp:conf/miip/SamsonovJ04
fatcat:25htf4yyjvc4zpcv6irc3agr4y