I want to create perfusion metric maps of the pulmonary vascular tree, but, in literature, it isn‘t clear to me which is the „state-of-the-art“ method for this. My target metrics are blood flow, blood volume and mean transit time. I understand that, in the field of blood kinetics, the choice falls between two types of methods: Deconvolution-based methods - a one-compartment model is assumed with an input and an output flow. The compartment represents a region in space enclosing perfused tissue and its respective capillary vasculature. The input represents blood being supplied by an artery, and the output, blood being drained to a vein. In practice, the compartment is an ROI of voxels in organ tissue, the input an ROI in a major artery, and the output an ROI in a major vein. Through Fick‘s principle it was derived that the mentioned metrics can be calculated from the impulse response, which is obtained by the deconvolution of the concentration curve (average pixel time-intensity in