Thermal therapies require accurate and real-time temperature monitoring to guide the treatment. To achieve higher temporal resolution in MR temperature imaging, we introduced bio heat transfer model to predict temperature maps, which are combined with previous image to act as constraints in the reconstruction of under-sampled data. An inverse optimization is also included to make the BHT model self-adaptive. Through robustness verifying experiment and heating simulation, the ability of the proposed method to provide accurate reconstruction at a high reduction factor is demonstrated in this study.
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