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Abstract #1813

Spectrum-Based and Least-Square PRF Hybrid Method for MR Temperature Mapping

Shuo Chen1, Xinwei Shi2, Feiyu Chen2, Karen Ying3, Shi Wang3

1Engineering Physics, Tsinghua University, Beijing, China; 2Biomedical Engineering, Tsinghua, Beijing, China; 3Engineering Physics, Tsinghua, Beijing, China

A new Spectrum Based/Least-Square PRFS hybrid method for MR temperature mapping is proposed, which can measure temperature in water-only and water-fat mixed tissues simultaneously. In water-only region, the accuracy of temperature measurement is improved by modifying traditional PRFS method with least square fitting. In addition, fat frequency calculated in water-fat mixed voxels is utilized to eliminate B0 field drift effect in PRFS method. The proposed method was validated in phantom experiment.