The extended Kety model is widely used for deriving quantitative perfusion and vascularity measures from DCE-MRI. In practice the signal contribution from the plasma space can be low compared to the signal-to-noise ratio (SNR) of the data which leads to cases where Ktrans is non-zero (indicating delivery of contrast to the tissues), but where the plasma volume fraction is estimated as zero: a logical contradiction. This work describes a model and fitting methodology to overcome this that makes use of a relationship between Ktrans and the plasma volume fraction to ensure both are positive or both are zero.
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