Personalized estimation of the arterial input function (AIF) in DCE-MRI has been a relatively challenging task due to the slow imaging speed of conventional MRI. As a consequence, a population AIF is usually employed for parametric mapping, which represents a group effect rather than the long-desired personalized quantification. In this work, we use the GRASP method to perform DCE-MRI of gynecological tumors with high spatial and temporal resolution and to estimate the AIF directly from the data. The personalized AIF shows higher consistency with the tumor enhancement compared to the population AIF.
This abstract and the presentation materials are available to members only; a login is required.