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Abstract #4386

Weighted Total Least Squares for Parameter Estimation with the Two Compartment Exchange Model

Anders Garpebring1 and Tommy Löfstedt1

1Radiation Sciences, Umeå University, Umeå, Sweden

When using linear least squares to estimate pharmacokinetic model parameters in dynamic contrast-enhanced MRI there is a risk of introducing bias due to noise correlations. By using a weighted total least squares (WTLS) method instead, these correlations are taking into account. The results of this study shows that the WTLS method is able to reduce the bias considerably compared to the linear least squares method for the two compartment exchange model, however, at the expense of increased computational time.

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