Fig. 6

Nested model fitting of DCE-MRI data on a murine breast cancer tumor model. Parameters for K_trans (a), v_e (b), and v_p (c) are shown. As shown in d, the majority of the voxels fitted best to the extended Tofts model, with some edge voxels fitting to the Patlak method. e shows the AIF used for the fit (taken from the left ventricle). f shows a sample time curve from the edge of the tumor (denoted by arrow) with corresponding fit (blue denotes the fit, red lines denote the 95 % prediction bounds for the fitted curve). Rod phantoms on either side of the mouse were present to allow for signal drift correction (not used in this case)