The introduction of a linear safety factor to address peak local SAR uncertainties (e.g. inter-subject variation and modeling inaccuracies) bears one considerable drawback: it often results in over-conservative scanning constraints. In this work, we present a more efficient and probabilistic approach to define a variable safety margin based on the conditional probability density function of the true peak local SAR value given the estimated peak local SAR value. Results show that the proposed approach leads to a reduction of peak local SAR overestimation up to 30%.
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