Partial Fourier temperature mapping using the k-space hybrid algorithm is shown to be more accurate than conventional partial Fourier reconstruction, and the use of partial Fourier acquisition patterns improves the performance of the k-space hybrid algorithm. Undersampled partial Fourier acquisition with k-space hybrid reconstruction can be used to achieve highly accelerated, artifact-free temperature mapping with a robust Cartesian acquisition. Reconstruction is parallelized in the slice dimension and frequency-encoded dimension to achieve real-time volumetric EPI temperature mapping, without parallel imaging.
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