Among the several parameters that affect temperature computation, blood perfusion is one of the most relevant. According to some studies, perfusion may change significantly with local temperature changes: therefore, it is relevant to characterize both the baseline value of perfusion and its dependence on local temperature for a correct temperature estimation with numerical simulations. In this work, we compare the efficiency and the robustness to noise levels of three different methods to estimate blood perfusion based on the analysis of temperature images which can be acquired, for example, with MR thermometry sequences.
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