Advanced data acquisition and reconstruction methods have been proposed to improve temporal and spatial resolution DCE imaging for breast. However, few studies have validated these techniques. In this work we propose a radial acquisition with MOCCO reconstruction and assess performance of these methods using a simulated digital reference object breast phantom including pharmacokinetic simulation. An improvement to the MOCCO formulation is proposed using independent component analysis to learn the temporal components. Finally, the extended Tofts model was used to extract pharmacokinetic parameters from time series with different temporal resolution. Dynamic data were then use for pharmacokinetic (PK) fitting to assess the ability to recover PK parameters.