In magnetic resonance thermometry based on proton resonance frequency shift, temperature is computed based on changes in phase as measured: with respect to previously acquired images (baselines); between regions within the same image (referenceless); or some hybrid of the two approaches. In phase reconstruction algorithms, how multi-coil data is combined affects both computational efficiency and temperature measurement precision. We modify a hybrid thermometry phase reconstruction algorithm to test several coil combination methods for computational efficiency and to evaluate their effect on temperature measurement precision. Results suggest applying coil-combination prior to phase extraction both for efficiency and SNR.
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