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Browsing Samuel Ginn College of Engineering (General) by Subject "Magnetic Resonance Imaging"

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An efficient auxiliary variable method for quantification of spin density, R2* decay and field inhomogeneity maps in magnetic resonance imaging 

Hu, Chenxi; Reeves, Stanley (2015-04-07)
Quantification of spin density, $R_2^*$ decay and off-resonance frequency maps is very important in some applications of magnetic resonance imaging (MRI). To reconstruct these parameter maps, a time-varying model such as ...