Golden angle radial sampling is insensitive to motion and provides oversampled central k-space for self-navigation. This study aims to accelerate the acquisition with motion correction for MR temperature imaging by applying golden angle radial to hybrid model based on PRF method. The proposed method uses low resolution images obtained from a certain ratio of radius in k-space center to correct the period motion and magnetic field drift. Then, an iterative method is adopted to estimate the temperature by the hybrid model. Simulations and in-vivo experiments demonstrate the robustness to motion and effectiveness of the proposed method.
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