Keywords: Quantitative Imaging, ProstateBalanced Steady State Free Precession (bSSFP) has been successfully used to estimate T2 maps (DESPOT2), but bSSFP is prone to off-resonance artifacts. These artifacts affect the reconstruction of the T2 maps. We propose a dictionary-matching reconstruction using the signal model of bSSFP and spoiled gradient echo (SPGR). We tested this approach with simulation, 3D phantom and 3D in-vivo prostate acquisitions. In all of them, the off-resonance banding artifacts are greatly reduced, which is reflected in reduced NRMSE values. This method allows using a faster sequence with high SNR to quantify complicated body regions like the prostate.
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