A synthetic data set for validation of tracer kinetic modelling and model-driven registration in DCE-MRI

Abstract

G. A. Buonaccorsi, G. J. Parker Imaging science and Biomedical Engineering, University of Manchester, Manchester, Manchester, United Kingdom Introduction In clinical quantitative dynamic contrast enhanced MRI (DCE-MRI), it is difficult to verify the accuracy of estimates of kinetic model parameters such as K, ve and vp, as we do not know the ‘true… (More)

Topics

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