Abstract: The present disclosure provides systems and methods for measuring a concentration of a contrast agent using magnetic resonance imaging (MRI). The method includes acquiring pre- and post-contrast data from a volume of a subject, where the pre-contrast data is acquired before a contrast agent is administered and the post-contrast data is acquired after the contrast agent is administered. Pre- and post-contrast resonance frequency maps are then computed, where the pre-contrast frequency map is based on one or more pre-contrast resonance frequency values, and the post-contrast resonance frequency map is based on one or more post-contrast resonance frequency values. The pre- and post-contrast frequency maps are then used to generate a resonance frequency change map that is subsequently used to generate a contrast agent concentration map that indicates a concentration of the contrast agent that was present at each voxel in the volume at the second time.

Abstract: The present disclosure provides systems and methods for measuring a concentration of a contrast agent using magnetic resonance imaging (MRI). The method includes acquiring pre- and post-contrast data from a volume of a subject, where the pre-contrast data is acquired before a contrast agent is administered and the post-contrast data is acquired after the contrast agent is administered. A pre- and post-contrast resonance frequency map are then computed, where the pre-contrast frequency map is based on one or more pre-contrast resonance frequency values, and the post-contrast resonance frequency map is based on one or more post-contrast resonance frequency values. The pre- and post-contrast frequencies maps are then used to generate a resonance frequency change map that is subsequently used to generate a contrast agent concentration map that indicate a concentration of the contrast agent that was present at each voxel in the volume at the second time.

Abstract: Accelerated dynamic magnetic resonance imaging (“MRI”) methods in which low-rank matrix completion is implemented as a pre-processing step to fill undersampled accelerated k-space while retaining both spatial and temporal resolution are described. The undersampled k-space data are acquired using multilevel sampling, in which both uniform undersampling and non-uniform undersampling are combined to achieve high temporal resolution while retaining spatial resolution.